Four Vancouver hotels on new list of Top 10 Canada City Hotels – Vancouver Is Awesome

Travel in 2020 isn't what it was last year, but the hospitality and tourism industry is bracing for what they hope is an inevitable bounce-back. And there are still carry-overs from pre-pandemic times, like annual lists ranking destinations across the globe.

One such annual list - or rather set of lists - is the Travel + Leisure World Travel Awards. The publication surveys readers about travel experiences in the past year to create a multitude of rankings for destinations.

For 2020, the T+L World Travel Awards note that all the voting took place before cities went into "lockdown" or similar mode: "This years Worlds Best Awards survey closed on March 2, just before widespread stay-at-home orders were implemented as a result of COVID-19. The results, therefore, reflect our readers experiences before the pandemic."

While one B.C. property made the list of the world's Top 100 hotels - that's Tofino's Wickaninnish Inn on Vancouver Island at no. 80 - the list of the Top 10 Canada City Hotels features four Vancouver spots, including the top two spots: Loden Hotel and the Rosewood Hotel Georgia.

Rounding out the Vancouver representation are theWedgewood Hotel & Spa in seventh position, andThe Fairmont Waterfront in a tie for 10th place.

Here's how the Loden, a boutique Coal Harbour property, got to the top spot, according to T+L:

"This hotel in Vancouvers scenic Coal Harbour neighborhood keeps climbing the rankings. Last year, the Loden was ranked second, after coming in 10th in 2018. As in previous years, our readers applauded the hotels legendary, thoughtful service. 'The staff are amazing,' wrote one respondent, also praising its waterfront location and stylish, comfortable interiors, which feature floor-to-ceiling windows and Philippe Starck light fixtures. Dont miss a meal at the Tableau Bar Bistro, beloved by travelers and locals alike, as well as a spin around nearby Stanley Park, a 1,000-acre rain forest surrounded by water, on one of the Lodens cruiser bikes."

"We hope that this years honorees will inspire your trips to come whenever they may be," adds Travel + Leisure of this year's rankings. If you're sticking in Canada, plotting a Vancouver staycation, or are just continuing to add to your bucket list, consider this some fuel.

1. Loden Hotel, Vancouver

2. Rosewood Hotel Georgia, Vancouver

3. The Ritz-Carlton, Montreal

4. Htel Nelligan, Montreal

5. Auberge Saint-Antoine, Quebec City

6. The Drake, Toronto

7. Wedgewood Hotel & Spa, Vancouver

8. The Ritz-Carlton, Toronto

9. Fairmont Le Chteau Frontenac, Quebec City

10. (tie) The Fairmont Royal York, Toronto

10. (tie) The Fairmont Waterfront, Vancouver

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Four Vancouver hotels on new list of Top 10 Canada City Hotels - Vancouver Is Awesome

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The Age of Covid: A look at the worlds daily commute and travel – Daily Maverick

TOKYO, JAPAN - MAY 19: A man wearing a face mask walks over a pedestrian crossing on May 19, 2020 in Tokyo, Japan. As Tokyo remains under a state of emergency, Japans Prime Minister, Shinzo Abe, confirmed yesterday that the Covid-19 coronavirus pandemic has plunged the country, the worlds third largest economy, into recession. To date, Japan has recorded 16,305 infections, 749 deaths and 11,564 recoveries from the virus. (Photo by Carl Court/Getty Images)

A warm thank you to Kim McCarthy from Gallo Images for her generous help in the production of this image selection. DM/ ML

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The Age of Covid: A look at the worlds daily commute and travel - Daily Maverick

Massive Income Loss: Left Behind By the Coronavirus – DER SPIEGEL

ByTim Bartz,David Bcking,Markus Dettmer,Martin Hesse,Henning Jauernig,Anton RainerundAnne Seith

When Andrea Anneser took up her new job at the beginning of the year, she could hardly believe her luck. The 49-year-old had just moved to the northern German state of Schleswig-Holstein after six years in Manchester. She describes herself as a "Brexit refugee who wanted to return to Germany before Britain fell into a crisis.

Everything was supposed to be better in Germany, where industry is strong and the future seemed secure. And indeed: A Hamburg company with a long history as a supplier to the ship and car industry hired her as a project manager. It was well-paid and seemed crisis-proof. "2020 was going to be my year, she says. Then the first news stories began to trickle in from China. And Anneser started worrying about her plan.

Anneser is responsible for customers in the Italian car industry. She how Fiats supply chains collapsed, followed by sales at the company she works for. Finally, her dream of a new life crumbled. She had to leave the company at the end of her probationary period.

Millions of people are losing out because of the economic crisis caused by the coronavirus. The virus can kill -- and we are learning that it can also divide societies. Even a rich country like Germany can run into trouble if social harmony breaks down because economic damage cant be contained and burdens aren't distributed fairly.

"Germany Is Getting Poorer

The global economy has plunged into its deepest recession since the Great Depression of the late 1920s. As many as 200 million people worldwide are threatened by unemployment according to estimates from the International Labor Organization. More than 6 million Germans are currently furloughed from work as part of the federal governments heavily subsidized "Kurzarbeit program. Many are likely to be laid off in the coming months. "Let's not fool ourselves, work furlough will unfortunately end in unemployment for many," says Clemens Fuest, the head of Munichs Ifo Institute, a respected economic think tank. "Germany is getting poorer."

The article you are reading originally appeared in German in issue 28/2020 (July 04, 2020) of DER SPIEGEL.

Does this mean that the fat years of prosperity seen in Germany in recent years will be followed by leaner ones? Is society slipping -- faster, harder and more permanently than ever before in Germanys history?

A survey conducted on behalf of DER SPIEGEL by the opinion research institute Civey found that three-quarters of Germans expect inequality in the country to increase as a result of the coronavirus pandemic. Young adults, in particular, are worried about what comes next. And it isnt just some abstract fear of inequality, either. One-third of Germans expect to see a drop in income and wealth for themselves this year. Thirty-six percent say they expect this to continue for the next three years.

The question of who will ultimately be left to foot the bill has already long since been raised.

The figures reflect a fear of decline in the middle of society that has not been tangible since the financial crisis of 2008. More than half of the self-employed expect lower incomes this year, and just under 50 percent of staff workers. Thirty- to 40-year-olds feel they are the hardest hit financially. Theyre often families with children who have had trouble coping with work and family life during the lockdown and social distancing.

Another respected economic think tank, the Kiel Institute for the World Economy (IfW) is expecting gross domestic product (GDP) in Germany to shrink by 6.8 percent this year. Despite the massive subsidies, aid and loans that have been paid out by the government to help people and companies get through the coronavirus, that would mean a drop in the national income of 110 billion euros ($124.2 billion) compared to 2019. On average, each citizen, from infants to the elderly, will have 1,325 euros less at their disposal.

Visible Cracks

But the actual effect that the crisis triggered by the coronavirus will have is much higher, because in the absence of the pandemic, the economy probably would have grown rather than stagnated. "The economy will probably grow again strongly next year," says Gabriel Felbermayr, the president of the IfW. But that doesnt mean "that we will return to pre-crisis levels. Income of around 390 billion euros would be lost by the end of next year compared to the development that had been forecast before the coronavirus, even if the economy grows by 6 percent in 2021.

Germany isnt America, where inequality was already extremely high before the crisis and is now worsening dramatically. But the cracks are also visible in this country.

Some hardships and conflicts can still be glossed over with money from bailout packages, and the government also wants to introduce tax relief to the tune of billions of euros soon. But the question of who will ultimately be left to foot the bill has been around now for a while. What part of society ultimately stands to lose as a result of the crisis and which will get through it relatively unscathed? And how fairly will the burdens ultimately be shared?

Andrea Anneser, 49, a project manager, got dismissed from her new job at the end of the her probationary period because of the crisis triggered by the coronavirus.

The loss of her new job threw the Brexit refugee Anneser completely off course. "It was like I was paralyzed, she says. Anneser returned to her country after a long absence as a woman in a male-dominated industry. Finding a job had already been a challenge even before the coronavirus struck. How is that going to happen at all in the crisis?

In the history of postwar Germany, there has been no situation with the labor market comparable to whats happening today, not even the 2008 financial crisis. In June, the number of unemployed rose to 2.85 million. The German governments Institute for Employment Research expects that number to pass the 3 million mark soon assuming there isnt a second lockdown. If that happened, things would get even worse.

Experts at home and abroad have praised Germanys response to the coronavirus crisis. "Crisis Resilience Made in Germany, was the title of a recent study by Deutsche Bank. But even if the German model with its social market economy, national healthcare system and a comparably good social safety net initially proved its effectiveness during the pandemic, there is no guarantee of a rapid economic rebound. It is too soon to tell how the country will emerge from the crisis.

The most vulnerable are all the people who have no financial reserves almost a quarter of the population.

Imbalances are already visible. For example, a disproportionately high number of low-skilled workers have been furloughed, and they were also less likely to be able to work from home during the pandemic. And the self-employed and freelancers didnt even have access to the Kurzarbeit work furlough program. A gap is opening between the public and the private sectors. For example, artists working for publicly owned theaters were furloughed, but freelance artists didnt get anything. Civil servants didnt lose anything, but many freelancers slipped into the welfare rosters.

Economist Felbermayr thus advises that civil servants and public employees should also share some of the burden. He suggests that federal, state and local governments could each reduce salary increases by a certain percentage over the next few years in order to compensate for the loss of income among blue- and white-collar workers.

The most vulnerable are all the people who have no financial reserves almost a quarter of the population. The German Advisory Council for Consumer Affairs has examined the impact of the crisis on such households. The measure for the calculation is the housing cost burden ratio meaning the proportion of income spent on rent, utilities and housing-related costs. A household is considered overburdened if that figure rises to over 40 percent. For households without savings or reserves that limit is already exceeded if 200 euros a month less is coming in. And there are many people who fall into that category. Full-time employees have, on average, made 400 euros a month less in recent months.

Viviane Borytzka is a woman with many strengths. Shes keen to learn and work hard and knows how to approach customers the right way. Thats what it says on page 12 of her job application the result of a vocational aptitude test. Borytzka, 24, completed it in March before the pandemic put her career plans at risk. Shes proud of the results, even if theyre of little use to her at the moment.

Borytzka wants to become a veterinary nurse. "I applied for 12 apprenticeships and internships, and I had a personal interview for four of them, she says. But all have either not been back in touch with her or they have turned her down.

Its the 20- to 30-year olds, young professionals, who may stand to suffer the most from the consequences of the pandemic. The financial and debt crises of 2008 and 2012 showed how quickly youth unemployment will skyrocket if policymakers dont act in time. Young people in Spain, Greece and Italy are still struggling today with a labor market that can offer them little.

The crisis caused by the coronavirus also threatens to make this an acute problem in Germany, as well. Between January and May, 18.3 percent fewer contracts for traineeships were registered with the local chambers of craft industries. According to a poll conducted by the German Confederation of Skilled Crafts (ZDH), one-quarter of companies stated that they intended to take on fewer trainees this autumn. Given that internships and job fairs havent taken place in recent months, many prospective vocational trainees still have no idea where they might get placements at the end of the summer, which is when apprenticeships generally begin in Germany.

The risk groups got mixed up during the economic crisis.

Politicians now want to create programs to help young adults whose careers have been stalled by the coronavirus. Companies with fewer than 250 employees that dont cut back on the number of apprentices they hire are to receive a payment of 2,000 euros for each new training contract. If the number of traineeships is increased, then that payment goes up to 3,000 euros. But will that be enough to motivate companies?

The risk groups got mixed up during the economic crisis. Older workers have been able to build up financial cushions over the years, and they are more likely to have permanent contracts or can possibly even retire early. Young people are often the first to lose their jobs. The young are also the ones who will have to pay off the 219 billion euros in debt the German federal government wants to borrow this year. The way that they view the country in the future will also depend on how the government treats them now.

When Germanys benchmark DAX index of blue-chip companies slipped to 8,442 points on March 18, Peter Hrle made a huge bet. "I only held onto a bit, just in case, the computer expert says on the phone. It was a first for the 35-year-old. High prices had repeatedly prevented him from investing his savings in shares. But when the virus sent share prices tumbling to their lowest levels in more than six years, Hrle knew. "Nows the time."

In the days that followed, he scraped together almost all of his savings, close to 20,000 euros, and invested in three technology stocks. One reason he was able to take such a risk was the good money he earns as a hardware developer for a company that provides traffic control systems.

Hrle was lucky. Since he bought his shares, the DAX has risen by just under 40 percent and his stocks have been performing even better than that. With his stock market coup, though, Hrle is more the exception than the rule in Germany. For many middle to low-income earners, stocks are still considered the realm of gamblers and savings are seen as the safer course of action. This is another reason that asset inequality has widened so steadily over the past 20 years.

The crisis has mercilessly exposed undesirable developments in retirement benefits, says Markus Grabka of German Institute for Economic Research (DIW). He has spent decades as the head of the Socio-Economic Panel, which regularly surveys 16,000 households to collect precise data on the reality of life in Germany.

The losers in the crisis caused by the coronavirus will be hit twice.

Overall, Germans are actually very rich, having accumulated 6.6 trillion euros in financial assets by the end of 2019. But there are few other countries in Europe where peoples money is as poorly invested and as unequally distributed. According to the Institute for Socio-Economics at the University of Duisburg-Essen, the bottom 50 percent of German society rarely owns more than one car and at best have only one retirement plan. Only 8 percent own their own home. The rest of their mini assets, which in the case of the lower quarter amounts to a maximum of only 6,200 euros, are usually kept in their bank accounts, which have been earning practically no interest for years. They seldom have stocks or shares in funds, so they wont benefit if stock markets continue to rise despite the crisis, thanks to persistently low interest rates.

At the top end of the scale, the world is a completely different place. Only 15 percent of Germans own stocks or shares in equity funds, but they tend to be among the richest 20 percent of the population. This fifth of the population owns its own property and often other properties too, for which it collects rent.

Grabka believes Germans are facing a big problem. The retirement benefits paid by the government wont be enough for many people, and private pension plans have become less and less profitable due to low interest rates. The crisis caused by the coronavirus is likely to exacerbate that problem. "There is major political and economic pressure on the ECB to keep interest rates very low for years to come," he says.

This means that the losers in the crisis caused by the coronavirus will be hit twice. Many low-income earners who have been furloughed or laid off because of the crisis have also had to stop making payments on their private supplementary pension plans because they dont have the money to pay the premiums.

And even some who invested money in shares during the good years and then lost their jobs or had to give up their business during the pandemic quickly find themselves having to dip into their savings and sell their shares. "The lower middle class is more likely to be affected by the realization of such losses," says Grabka, whereas the wealthy could probably sit out the turmoil on the stock markets.

The statistics are packed with socio-political dynamite. If the wealthy ultimately become uncoupled from the rest of the population during the crisis and if the middle class shrinks and poverty in old age becomes the norm, the conditions on which social harmony is based will crumble.

To prevent people with low incomes from sliding into old-age poverty, Grabka is calling for the fundamental reform of state support for private pensions. "When, if not now, in the corona crisis, does the political community want to develop an alternative to the failed Riester pension?" he asked, referring to the countrys government-subsidized secondary pension plan.

The DIW researcher advocates a Germany fund to which all employed persons pay into. He proposes that the government pay subsidies for people who are either unable to save or are only able to save a little by themselves. In the longer term, he argues, a fund like that with a significant stock component could generate returns of 6 to 7 percent. Sweden, where every employee is required to pay into such a fund, is a trailblazer. The risk would also be manageable in Germany because a government fund would be in a position to diversify its investments widely.

The Kraatz family, who live in the eastern state of Brandenburg, now have weeks of uncertainty behind them. Its not because of the collapse of the economy, but because their six-year-old son couldnt go to daycare for more than two months. Anke Kraatz and her husband had to continue going to work as usual. "We were still up to our necks in work, she says of the carpentry workshop where she is employed as an office worker. It wasnt possible for her to work from home. Meanwhile, her husband was travelling for his job as an installer for a prefabricated housing company.

"I seriously started crying when I heard that."

Millions of parents faced similar problems when schools and daycares closed in mid-March. It was also a problem for business, and it still is. Around a quarter of the workforce has young children in need of supervision. In a survey conducted by the Chamber of Commerce and Industry of Berlin of around 500 companies, 76 percent of respondents reported weaker performance among their employees as a result of the closures; 67 percent said they had experienced difficulties in planning reliably; and 63 percent said their employees had reached their limits health-wise due to the additional workload.

Yet politicians still offered little help to families. In mid-May, a provision in the Infection Protection Act was extended. The state will now pay parents who must stay home to look after their children due to the pandemic, and who therefore can't work, 67 percent of their salary for 10 weeks. Per parent. That's four weeks longer than before.

Anke Kraatz, however, did not qualify for the assistance. "My boss immediately dismissed it when he heard about it. He couldn't have afforded that," she says. Every employee was needed, Kraatz was told. She's tried to find an emergency daycare slot for her son. Her application was rejected because neither Kraatz nor her husband worked in "critical infrastructure," as the Oberhavel district explained to them. When Kraatz called an "emergency hotline" and protested, she was told by a public servant on the other end of the line that if she couldn't find a solution, then she would just have to quit her job and apply for welfare. "I seriously started crying when I heard that," Kraatz says. "Who keeps the economy going around here, if not us?"

Anke Kraatz, 39, an office worker and mother, was told by a worker at a government help hotline that she might have to quit her job and go on welfare if she couldn't find a solution.

Meanwhile, Kraatz can breathe a sigh of relief. Since June 15, daycares in Brandenburg and other states have reopened. In August, when her son is scheduled to start school, classes will also be held normally again. Assuming, of course, that infection rates don't spike again.

If that happens, it'll be mothers like Kraatz who will have to pick up the slack. An online survey of 7,700 participants, conducted by the left-leaning Economic and Social Science Institute of the Hans Bckler Foundation at the beginning of the crisis, revealed that 27 percent of mothers had already reduced their working hours due to daycare and school closures. Among fathers, it was only 16 percent.

Economic disadvantages are also a threat to children involved. "Even with interruptions of a just few weeks" as a result of the pandemic, "long-term negative macroeconomic effects" can be expected, warns a group of education researchers in an appeal titled, "Make education possible."

In order to provide meaningful education in case of a second and third wave of infections, money must be invested now, says Christa Katharina Spiess, an education expert at DIW.

However, in the government's crisis planning to date, education and childcare have hardly played a role. In the federal government's 130 billion-euro economic stimulus package, there were a meager 3 billion euros earmarked for the expansion of schools and daycares. Another 4.3 billion euros were earmarked for a one-off "bonus" of 300 euros per child, which parents will now receive. "I find this response relatively unimaginative," says Spiess, "and, in relation, it's nowhere near enough."

Just half a year ago, Olaf Knieriem thought himself to be well on his way to a successful future. With his planning agency for trade show construction, Expoworks, he had had a turnover of 2 million euros, year after year. The order books for 2020 were full. Then the coronavirus hit. Knieriem sits with his son, Daniel, in the top-floor office of a multi-purpose building in Knllwald-Remsfeld, south of Kassel. The two seem simultaneously determined and powerless. According to the Munich-based Ifo Institute, the trade show, exhibition and congress industry generates an annual revenues of 8 billion euros. Around 60 percent of the world's leading trade shows are held in Germany. According to figures from the Association of the German Trade Fair Industry, the cancellation of more than 110 trade shows this year endangers around 92,000 jobs -- and several small companies, such as Expoworks.

In March, business collapsed. In April, the elder Knieriem realized the situation would remain dire until the end of the year. What's more: "The business model of trade show construction is on the line."

Those who cannot afford to invest now will fall by the wayside.

Knieriem has reduced the working hours of his six employees, received 10,000 euros in direct aid and reinvented his business model. Expoworks now offers complete solutions for companies that have to comply with new hygiene regulations due to the coronavirus. An airlock, an app for visitor management, consulting and training. Knieriem and his son have sent their offer to hospitals, public institutions, congress organizers and companies. There's interest, but no orders. The company is struggling to stay afloat. Knieriem is afraid to take out a loan because planning for the future is impossible and he doesn't know whether he'll ever be able to pay it back. "Things are falling apart in the trade show construction industry. Even larger companies are struggling to survive," he says.

In other sectors, too, the self-employed and small business owners are becoming less optimistic -- everyone from restaurateurs and movie theater operators to owners of travel agencies, specialist retailers and hairdressers. In a survey conducted by the DIW as part of the "Socio-Economic Panel," around 60 percent of self-employed workers said they had suffered a loss of income: on average, more than 1,200 euros a month. Almost half of them only have enough money to keep their business running for three months at most.

This could have fatal, long-term consequences for the country's entrepreneurship. Though Germans are traditionally less willing to take risks than others, in recent years, they've been somewhat bolder. "The recent positive attitude in Germany vis--vis startups and self-employment" is in danger of "being damaged," warns the DIW. This partly has to do with the self-employed feeling less supported by the state than formal employees.

The impact of the 50 billion euros in direct aid that was promised to those self-employed people who work alone, as well as to small companies, is also limited. They cover operating costs, but don't make up for lost wages. Many companies are also afraid that their turnover won't be as high as it once was. As is the case with the Knieriems, they're only able to continue working with restrictions in place.

This is made all the more dramatic as the pandemic accelerates digitalization. Those who cannot afford to invest now will fall by the wayside. "There will be a sharp rise in insolvencies from the second half of the year onwards, especially among small and medium-sized companies," says Achim Wambach, chairman of the Monopolies Commission. Competition and the pressure to innovate will be lost. As such, the pandemic will strengthen the market power of Amazon, Google and the like.

Governments are further distorting competition during the current crisis. For politicians, it's more attractive to support established companies where they know how many jobs they are saving.

Andr Schwmmlein, a co-founder of the long-distance bus and regional train operator FlixMobility, sees himself as a victim of new coronavirus policies. The company has grown out of its startup phase, but the coronavirus hasn't only come close to paralyzing the Munich-based company, it's also set it back in its competition with Deutsche Bahn. The government wants to inject 6.7 billion euros into Deutsche Bahn as compensation for lost revenue due to the virus. The figure is so high because Deutsche Bahn maintained its operations as widely as possible throughout the crisis. But for competition, it's a problem. "We can only cautiously increase our offer, because as a private company we have to make sure that we cover our costs," says Schwmmlein. Deutsche Bahn can keep running without worrying about losses because the state is footing the bill. In doing so, the government is pushing competitors out of the market.

Wolfgang Schmidt is more powerful than ever. The state secretary in the Ministry of Finance is the right-hand man to Olaf Scholz, the German finance minister -- and the person ultimately responsible for releasing up to 1.9 trillion euros in coronavirus aid. Schmidt can feel that the pandemic and the economic paralysis it has caused are changing something in the country. He can tell that much depends on how fairly the costs of the crisis are distributed.

Viviane Borytzka, 24, wants to become a veterinary nurse, but all her applications for vocational training spots have been rejected during the coronavirus crisis.

In phase one, the German government helped make up for part of the loss of income and keep companies afloat with its billion-euro rescue packages. Scholz and Economics Minister Peter Altmaier initiated phase two with the economic stimulus package at the beginning of June, which was aimed at incentivizing consumers to spend more. A debate over burden sharing is sure to come, Schmidt says. "But now, we're still in crisis management mode."

But this is already changing. The head of the Left Party's parliamentary group, Amira Mohamed Ali, for instance, doesn't think much of the 6-month-long, 20 billion-euro reduction in value added tax. Large companies aren't going to completely pass along the advantage anyway, and in the end, they'll end up benefitting more from it than smaller firms, she says. Instead, Ali says the federal government should have come up with more direct aid for small businesses, vouchers for consumers or augmented smaller pensions and welfare payments.

It's big vs. small. Poor vs. rich. The battle over distribution is on.

The co-leader of Germany's center-left Social Democrats, Saskia Esken, favors a wealth tax to force multimillionaires and billionaires to cover some of the costs of the coronavirus crisis. This could garner votes, but according to Grabka, the distribution researcher, it's not a good idea. "Using such a tax or levy to get entrepreneurs, who have suffered a great deal from the consequences of the pandemic, to help with the financing regardless of the revenues they generate, is economically questionable," he says. It could cost jobs.

As unified as politicians seemed when it came to the rescue packages, the various political camps are equally as divided over who should cover the costs. And they're becoming more entrenched: liberal vs. social, business-friendly vs. employee-friendly. Friedrich Merz, a candidate for the leadership of the Christian Democratic Party, wants to rethink all government services after the crisis. Schmidt, a Social Democrat, on the other hand, is pushing for a significant increase in the minimum wage. "This contempt for the state and the ideology of lowering taxes should be over by now," he says.

In the battle between leftists and liberals, one group could suffer more than others. It's the group upon which everything else in the country is built, whether economic strength, social cohesion or political peace: the middle class.

Ifo chief Fuest warns that the middle class is crumbling because the pandemic is intensifying structural change. He recommends spending more money on education in order to give more people better opportunities in the job market. But thanks to the school closures, a growing number of people, especially ones from educationally disadvantaged milieus, are losing access. "The inequality of opportunity is growing," says Fuest. "This is a particularly bitter form of inequality, and it has not yet been adequately addressed."

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Massive Income Loss: Left Behind By the Coronavirus - DER SPIEGEL

The sharpest rises are taking unemployment to historic highs: Is Britain Returning To The 1930s? – FE News

SINCE end of the Second World, many people have seen the inter-war period as an age of instigated economy failure, marked by mass unemployment, hunger marches, including the famous Jarrow March of 1936 and lengthening dole queues. For the historian Claude Cockburn, this was the ''devil's decade''.

However, this popular view has been challenged by the author and broadcaster Stuart Maconie in his book, 'The Long Road to Jarrow.' He points out that, although there was great hardship, especially in the north of England, Wales and industrial Scotland in the 1930s, it was unevenly spread out.

The hardships were very real, particularly for those who lived in the depressed areas of Tyneside, Teeside and Co Durham. For instance, between 1854 and 1913, then output of British coal had grown from 65 to 287m tons. By 1934, it had fallen. In human terms, the ruin of the traditional industries such as shipbuilding and mining was the ruin of hundreds of thousands of men through mass unemployment.

Certainly, to live in Jarrow was a grimmer experience the to live in the Midland town of Market Harborough. In 1936, Jarrow resembled a ghost town, with over 80% of the town's men jobless.

And the Durham town of Ferryhill experienced 25% unemployment. The consequences were devastating - shops, pubs and other businesses were forced to close. Families fell into debt. Diets suffered and health -both physical and mental deteriorated. The dole was meagre. The hated 'mean-test' was often applied in a harsh and heartless manner.

Today unemployment across the UK is rising sharply. TheEmergency exit: How we get Britain back to workreport by the Learning and Work Institute points out ''the sharpest rises are taking unemployment to historic highs.''

The report states: ''Unemployment could rise above 15% in the second half of 2020, perhaps reaching levels last seen in 1938. This would mean in excess of of four million people out of work.''

According to the Institute for Fiscal Studies COVID-19 is having a disproportionate effect on the job prospects of groups that were more disadvantaged even before the crisis - young people, women, older workers and the low-paid. In the North East 17% are NEET, the highest in Britain and this is likely too treble by the end of 2020. In Newcastle-Upon-Tyne 8,000 adults are claiming jobseekers allowance, a figure that's likely to increase to 24,000 by 2021 unless drastic action is taken , warns the Local Government Association.

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YOUTH unemployment has been a big socio-economic problem in the UK for

Graham Hasting-Evans from @NOCNGroup discusses the Chancellors Summer

So the English Apprenticeship guarantee is here And although it

While central government has unveiled its 2b 'Kick-Start, job creation programme, aimed at jobless 16 to 24-year olds, the Learning and Work Institute is calling on the government to bring forward ''large-scale investment and incentives to create jobs with shovel-ready and jobs-rich schemes''.

Millions more experience the insecurity and low wages of the ''gig'' economy. There's been a sharp rise in precarious self-employment and zero-hour contracts. Under austerity, the number of northerners using food banks has soared. The Trussel Trust gave out over a million food parcels in 2019. Child poverty and mental ill-health have increased with 16,700 north-east youngsters at risk of falling through the net in the school and care system.

As Maconie notes: ''The '30s in some ways start to look very much like Britain today, once you've wiped away the soot and coal dust''.

Social class, for Maconie, is alive and well. It's the principal division of UK society as he reflects upon the north-south divide through his contemporary journey from the post-industrial towns of Jarrow and Barnsley to the southern market towns of Bedford and St. Albans. The former industrial town of Ferryhill, today is a ''mining town with no pit'', he writes.

Yet as the historians Cook and Stevenson, point out Birmingham, although hard-hit, escaped the worst ravages of the interwar recession, while the leafy suburban towns of the home counties remained untouched, with full employment. New council housing was being built for the so-called ''respectable working-class''. With interest rates low, new mock owner-occupied Tudor semis were being built on the fringes of London for professionals in the private sector.

Nor did the era produce a potential revolutionary situation or extremism as predicted by many contemporaries at the time. Although membership of the far-left Communist Party grew from 2,500 in 1930 to 17,500 by 1939, it made very few advances. Likewise Mosley's Fascist blackshirts during the period made little impact in the nation, even though his party had over 30,000 members by 1935.

The 1930s were, in several respects, period of growth and socio-economic expansion. The well-established light industries of the Midlands, although they had always met the demands of the domestic consumer, found themselves faced with a rapidly expanding mass market. Inexpensive consumer durables such as vacuum cleaners, radios and electric irons flooded the market and were bought in vast quantities by 1939.

Department stores, especially Woolworths, grew and expanded rapidly, selling a wide range of cosmetics and women's magazines. Today the retail and hospitality industry is on the brink of partial collapse due to the COVID-19 crisis.

As the 1930s witnessed marked shifts in the economy in both middle England and the south of the country, leisure to became transformed.

In 1920, there had been about half a million motor vehicles of all kinds. By 1932 there were three times as many. By 1939, that figure had doubled. Of the three million vehicles on the roads, two million were private cars. In Oxford, traffic jams had become a familiar bank holiday event. In 1931, only 1.5m people were entitled to a paid holiday. By 1938, this figure had risen to 11 million.

Caravans, Butlins holiday camps and cinemas were becoming a familiar sight. The number of visits to the '' picture houses'' rose from 36,000 in 1924 to eight million by 1935 with cinemas like the Odeon packed out every weekend.

Throughout the thirties, the cost of living fell by one third faster than wage rises. Those in secure employment like office workers and skilled artisans, who formed the majority, enjoyed a rise of 17% in real incomes from 1924 to 1935.

The author JB Priestly, in his book 'English Journey'', in 1934 was not slow in noticing the paradox that prevailed: mass unemployment and poverty for one section of the working class in the north and a rising standard of living for another in the south.

He wrote: ''This is the England of arterial and by-pass roads, of filling stations and factories that look like exhibition buildings, of giant cinemas and dance halls and cafes, bungalows with tiny garages, cocktail bars, motor coaches, wireless, hiking, factory girls looking like actresses, greyhound racing, swimming pools and everything given away fro cigarette coupons.''

Maconie argues that, 80 years on, we're going back to 1930s depression, deepening inequality in material condition and the growth of ''populism''. It can't be denied that we're seeing a widening gulf both between the North and South of England.

Just as worrying, we appear to witnessing a big gap opening up between the cosmopolitan core cities and nearby urban post-industrial and coastal towns where there's much talk about the white working-classes becoming marginalised, angry and 'left-behind'.

It's imperative that we make our post-COVID-19 country a ''one-nation'' society again. But we also need to strive for a ''one region society'' too, if we're serious about re-creating a more equitable and fairer community which benefits the many and not just the few.

Stephen Lambert is a Newcastle City Councillor. He writes in a personal capacity.

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Comets | Facts and Information on Visible Comets – Sky …

Comets are a wondrous sight for amateur astronomers. As one approaches it often reveals a tail, slowly unfurling a long ghostly banner of light. Often marked by a distinct greenish-blue haze, they are not to be missed.Hale-Bopp was a splendid sight during 1996, when multiple jets spewed dust and gas from its nucleus. The clarity of features was outstanding even by historic standards. Charles Messier, of the Messier Catalog, actually created his listto help him in his hunt for the ghostly apparitions.Messier objects were things that might trip up a seasoned comet hunter and make him lose precious time in his nightly quest for the elusive cosmic snowballs.

Check here for guides and fun tips that you can use to observe comets. While Hale-Bopp wont return for another 2,500 years, there will certainly be another Comet ISON in the not-so-distant future. You can also check our news section for updates on the latest comets.

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Comet Facts – Interesting Facts about Comets

Comet ISON stardustobservatory.org/images.php?page=details&id=363What is a Comet?

A comet is a very small solar system body made mostly of ices mixed with smaller amounts of dust and rock. Most comets are no larger than a few kilometres across. The main body of the comet is called the nucleus, and it can contain water, methane, nitrogen and other ices.

When a comet is heated by the Sun, its ices begin to sublimate (similar to the way dry ice fizzes when you leave it in sunlight). The mixture of ice crystals and dust blows away from the comet nucleus in the solar wind, creating a pair of tails. The dust tail is what we normally see when we view comets from Earth.

A plasma tail also forms when molecules of gas are excited by interaction with the solar wind. The plasma tail is not normally seen with the naked eye, but can be imaged. Comets normally orbit the Sun, and have their origins in the Oort Cloud and Kuiper Belt regions of the outer solar system.

There are many misconceptions about comets, which are simply pieces of solar system ices travelling in orbit around the Sun. Here are some fascinating and true facts about comets.

Comets come in several categories. The most common are periodic and non-periodic.

In the past, comets were named for their discoverers, such as Comet Halley for Sir Edmond Halley. In modern times, comet names are governed by rules set forth by the International Astronomical Union (IAU). A comet is given an official designation, and can also be identified by the last names of up to three independent discoverers.

Heres how it works. Once a comet has been confirmed, the following naming rules are followed. First, if the comet is a periodic comet, then it is indicated with a P/ followed by the year of its discovery, a letter indicating the half-month in which it was discovered, followed by a number indicating its order of discovery. So, for example, the second periodic comet found in the first half of January, 2015 would be called P/2015 A2.

A non-periodic comet would be indicated with a C/ followed by the year of its discovery, a letter indicating the half-month in which it was discovered, followed by a number indicating its order of discovery.

If a comet is independently discovered by three people named Smith, Jones, and Petersen, it could also be called Comet Smith-Jones-Petersen, in addition to its formal designation. Today, many comets are found through automated instrument searches, and so the formal designations are more commonly used.

Well-known comets include the non-periodic comets Hale-Bopp (C/1995 O1), Hyakutake (C/1996 B2), McNaught (C2006 P1), and Lovejoy (C/2011 W3). These flared brightly in our skies and then faded into obscurity.

In addition, Comet Shoemaker-Levy 9 (D/1993 F2) was spotted after it had broken up after a close call with Jupiter. (The D in its proper designation means it has disappeared or is determined to no longer exist). More than a year later, the pieces of the comet crashed into Jupiter.

The periodic Comet Halley (1P/Halley) is the most famous in history. It returns to the inner solar system once every 76 years. Other well-known periodic comets include 2P/Encke, which appears ever 3.3 years and 9P/Tempel (Tempel 2), which was visited by the Deep Impact and Stardust probes, and makes perihelion around the Sun every 5.5 years.

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Undying romantic impulse – The News International

The writer is an Islamabad-based columnist.

Theres a sense of deja vu when one looks at the growing discontent with the PTI government, which was inaugurated barely two years ago amid tremendous expectations.

Here is a leader who had adopted an iconoclastic stance on the economy and governance and promised to bring about a metamorphosis of the nations politico-economic landscape. But as prime minister, his popularity has nosedived; and in the eye of even many of his erstwhile staunch supporters, his governments acts of omission and commission have thrown the country into a tailspin. So what has gone wrong?

Romanticism and classicism represent the opposite poles in a perennial intellectual-cum-political divide. Classicism puts its faith in rationalism and empiricism as the reliable guide to travelling along the road to advancement and freedom. People are regarded as essentially similar everywhere, governed by the same universal laws. They only differ in how far they have travelled on the same linear road. Knowledge constitutes the only credible difference between nations or societies.

Romanticism ennobles will, sentiments, intuition or faith. In one sweep, the will can accomplish what intellect fails to do despite years of sweat and labour. Cultural differences are abiding; some nations or ethnic groups because of their inherent characteristics are destined to rule the rest.

For classicists, the fundamental condition in society is one of cooperation and consensus. Conflict and disagreement, whenever they arise, are underpinned primarily by lack of knowledge. Over time, and with pursuit of enlightened self-interest, all conflicts and all contradictions are resolved. For romanticism, by contrast, the fundamental condition in a society is one of conflict; the apparent consensus is contrived and maintained by power. Far from being an aberration of an otherwise society in concord, discord is the driving force of history and the engine of social change. Conflict is undergirded by systemic, and often irreconcilable, forces in which one side either decimates the other or gets decimated.

In politics, whereas classicism appeals to common principles, programmes and ideologies, romanticism draws strength from shared sentiments, narratives and myths. Classicism puts its trust in commonsense, natural or fundamental rights, democracy, incremental change, peaceful conflict resolution, the rule of law and institution building.

Romanticism upends this world of harmony and freedom. Democracy is regarded as a sign of decay and decadence, of senility and stupor, while the very notions of fundamental rights and equality are considered to be essentially destructive. The prime political virtue for the people is not freedom but loyalty; the principal qualification for the leader is not common sense but charisma. Rules and regulations, procedures and precedents throw a spanner in the leaders works and therefore must be set aside when needed. Debates and arguments are only wit and gossip a bourgeoisie notion in the terminology of revolutionary socialism. Its the indomitable will and emotional intelligence that make all the difference. Romantics look to men and women of destiny, who, in the words of political theorist Carl Schmitt, make decisions and create politics by defining the peoples enemies.

In both intellectual and political realms, the romantic-classic divide is unending and has produced towering figures on both sides. For every Bentham, theres a Coleridge; for every Hegel, theres a Schopenhauer; for every Churchill, theres a Hitler; and for every Chiang theres a Mao.

Where do Pakistans politics and society stand in this clash of the romantic impulse and the classic intellect? For all its shenanigans and shortcomings, Pakistan is a democracy, where at least in theory, the law of the land reigns supreme. At the same time, its a society whose infatuation with a sweeping change refuses to die down and where the cult of the personality commands a creed-like devotion. Not surprisingly, the emergence of a saviour whos capable of turning things around by sheer will and strength of character has remained a dominant theme in the socio-political narrative.

Over the years, such a narrative has produced quite a few saviours both in uniform and wearing the garb of democracy. Until a few years ago, the person who came closest to satisfying popular aspirations for the emergence of a saviour was Z A Bhutto, who sought to strike a compromise between revolutionary socialism and parliamentary democracy. The former found its expression in his flagship nationalization programme; while the latter was embodied in the 1973 constitution, which marked the continuation of the status quo. In a way, Bhutto represented a synthesis albeit a jerry-built of classic and romantic ideals. Chairman Bhutto would style himself as Pakistans Chairman Mao but he lacked the titanic personality of the founder of the Peoples Republic of China by a long way.

The fall of Bhutto in the late 1970s coincided with the advent of the Islamic revolution in Iran. The images of Ayatollah Khomeini triumphantly returning to his country having pulled down a mighty monarchy gave fresh impetus to hopes for a comparable revolutionary change in Pakistan. That said, none of Bhuttos contemporaries or successors was cast in a revolutionary mold. They might have coveted to rule with an untrammeled authority, and, as in case of Nawaz Sharif or Benazir Bhutto, might have put up a defiant face once or twice, but they didnt have the making of a revolutionary. They remained primarily concerned with saving their neck.

The rise of Imran Khan created the impression that at long last the much awaited saviour had arrived. Here was a leader who promised and seemed capable of uprooting the old, creaky, corrupt, and rotten-to-the core system; eschewing the politics of opportunism and the electables, redistributing wealth from the ultra-rich to those lying at the bottom of the economic heap, breaking the begging bowl once and for all, and making the nation stand on its feet all by his indomitable willpower and charisma.

With or without taking a leaf out of the book of Carl Schmitt, Imran Khan created politics primarily by defining the peoples enemies: the corrupt elite, which he called mafias, self-serving politicians, and rent-seeking businesspersons. Like a true romantic, he ruled out, and continues to do so, compromise with his foes. His stature both as a cricketer and a philanthropist may have helped him get a foot in the door of power. But it was the peoples disenchantment with the erstwhile political parties that provided a fertile ground for his rise. The youth impatient and impressionable as they are everywhere were particularly swept off their feet by his potent anti-corruption, anti-elite narrative. Their leader had clearly defined their enemies and it was up to them to strike the final blow.

But so far the expectations of national rejuvenation have turned out to be a pipedream. Whether its embracing the electables and the tried and tested, announcing a tax amnesty, shedding reliance on foreign credit, curbing the powers of mafias or frequent administrative reshuffle at the top, Imran Khan has come a cropper in leading politics or governance off the beaten track. Worse, the sharp deceleration of economic growth and a perennial narrow fiscal space have thrown a wrench into the works of the government relating to job creation, income generation and price control the ultimate test of a government in the eye of the electorate. All these have combined to make craters in the ruling partys popularity.

Imran Khans supporters defend the below par performance of his government by arguing that the system is too thoroughly out of whack as to be set right in a couple of years and that if the nation is patient enough the indefatigable will of their leader would do wonders and whup the common enemies. They may have a point. The problem, however, is that once the sentiments of the people are whipped up so and their expectations are raised sky high, expecting them to be patient, though it may sound logical, is a tall order. Remember, rationality is a perfect stranger in the land of the romantics. In such circumstances, the leaders popularity is bound to come down with a thud.

Both romanticism and classicism have their merits and demerits. The success of romanticism requires above all a titanic figure; and even such a figure may in the end fall. In a nation where pygmies are cast as giants, its better to put ones money on classic ideals: incremental change, institution building and rule of law. At the same time, fascination with romantic notions is difficult to cast aside for long. Lets wait with bated breath for the next saviour.

Email: [emailprotected]

Twitter: @hussainhzaidi

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EUIPO Report Names Turkey as the Third Biggest Producer of Counterfeit Goods – Lexology

Two important reports regarding intellectual property crimes have been published: 2020 Status Report on IPR Infringement published by European Intellectual Property Office (EUIPO) and IP Crime and its Link to Other Serious Crimes published by the European Union Agency for Law Enforcement Cooperation (EUROPOL) and EUIPO.

2020 Status Report on IPR Infringement covers the economic value of intellectual property rights in the EU economy, the infringement mechanisms used to capture that value, and the actions being taken in response to these infringements. The report brings together findings of the research carried out through the European Observatory on the Infringement of Intellectual Property Rights and underlines the importance of IP rights to the EU economy and in terms of the COVID-19 crisis, which has dominated the first half of 2020 and threatens to have long-lasting effects. This report also presents organized crime groups (OCG) involvement in intellectual property crimes based on cases investigated by EUROPOL.

In order to identify the most prevalent provenance economies of counterfeit goods entering the EU, the research takes account of customs seizure percentages and trade flows and names Turkey as a provenance along with Benin, China, Gambia, Hong Kong, India, Malaysia, Morocco, Panama, the United Arab Emirates.

Moreover, with reference to the study conducted by Organisation for Economic Co-operation and Development (OECD) and the EUIPO with the aim of distinguishing between provenance economies that are producers of counterfeits and those that act as trade routes, the report identifies Turkey as the third biggest producer of counterfeit goods; following China and India.

The report titled IP Crime and its Link to Other Serious Crimes presents case examples regarding intellectual property crimes link to other forms of criminality; including money laundering, document fraud, cybercrime, fraud, drug production, and trafficking and terrorism.

Under the title Bribery & Corruption, the report defines corruption as a threat to societies safety and underlines that it is one of the means used by criminal organizations, including intellectual property crimes, to achieve their unfair objectives. The details regarding Operation Monkey Box, which is connected with Turkey are also presented as a case example. In the context of this case, the Greek Financial Police Division disrupted two independent organized criminal groups that systematically imported and distributed large quantities of counterfeit products from Turkey to Greece and sold those products as genuine.

The investigation revealed that EUR 1,551,226 was transferred to Turkey illegally during 2016-2018, and OCGs illicit profits are estimated to exceed EUR 3,500,000. As a result of this investigation, 86 people were prosecuted and twenty people were arrested, including 4 public servants. Two police officers were implicated in the case, one of whom was arrested for facilitating the work of the OCG, while the other one was charged with a breach of duty.

Both reports explain the harm of intellectual property crime, which is often seen as a victimless crime, to the economy; its presence with other crimes conducted by OCGs, and argue that the fight against intellectual property right infringement needs to be strengthened.

Please see thislinkfor the full text of 2020 Status Report on IPR Infringement, and thislinkfor the full text of IP Crime and its Link to Other Serious Crimes.

Information first published in theMA | Gazette,a fortnightly legal update newsletter produced by Morolu Arseven.

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NASA outlines recommendations to clear path for Boeing to resume Starliner flights – Spaceflight Now

STORY WRITTEN FORCBS NEWS& USED WITH PERMISSION

NASA has completed an exhaustive review of software problems and procedural oversights that prevented an unpiloted Boeing Starliner capsule from docking with the space station last year. The agency is implementing 80 recommendations to clear the way for a second test flight later this year and, if all goes well, Boeings first piloted flight next spring, officials said Tuesday.

Steve Stich, manager of NASAs Commercial Crew Program, would not say when the company might be cleared to launch the Starliner on a repeat of the unpiloted flight other than it probably would be toward the latter part of this year.

I really want Boeing and our team to go through the software recommendations and make the changes to the software and test the software, he told reporters. And then once we start to see how that shakes out well talk a little be more about when to go fly.

Whenever it takes off, if the flight goes smoothly and a detailed data review confirms that Boeing will press ahead with plans to launch a two-man one-woman crew to the International Space Station next spring aboard the same Starliner, now being refurbished, that ran into problems last December.

SpaceX has already accomplished that feat, launching two astronauts to the station May 30 aboard that companys Crew Dragon capsule. The astronauts, Douglas Hurley and Robert Behnken, plan to return to Earth around Aug. 2, setting the stage for SpaceXs first operational crew rotation flight in the mid September timeframe.

Asked if NASA could opt to abandon the Starliner program if Boeing runs into more problems during the upcoming unpiloted flight, Stich said the space agency is committed to having two spacecraft providers as a hedge against downstream problems that could ground either company in the midst of operational crew rotation flights.

And in any case, he said, given the reviews and additional oversight now in place as a result of the problems last December, the same sort of issues would not escape detection, well before launch, the second time around.

We need both Boeing and SpaceX to be there for us to support crew transportation, he said. From what Ive seen of Boeings implementation of the corrective actions, I really dont anticipate that we would be in a position to go fly, we would not get through a flight readiness review if we saw problems, systemic problems.

Were going to methodically work through every single change in the software, every single change to the hardware. I really wouldnt anticipate getting to flight in a situation where we would repeat the kinds of close calls that we had on the (first) mission.

Boeing and SpaceX are both building piloted astronaut ferry ships for NASA under commercial contracts valued at some $6.8 billion. The goal is to end the agencys sole reliance on Russian Soyuz spacecraft to carry U.S. crews to and from the International Space Station.

Both companies designed, built and own their spacecraft. They both agreed to launch one unpiloted test flight to the station and one piloted mission before beginning operational crew rotation flights.

SpaceX carried out a successful unpiloted flight of its Crew Dragon capsule in March 2019 and its piloted test flight, known as Demo 2, is currently underway with Hurley and Behnken aboard the space station.

Boeing launched its Starliner on an unpiloted orbital flight test, or OFT, in December 2019. But the spacecrafts computer set its mission clock to the wrong time before liftoff, causing it to miss a critical orbit raising maneuver. That problem, combined with a communications glitch, prevented a rendezvous and docking with the space station.

Boeing engineers then found another software oversight that could have caused the spacecrafts service module, jettisoned prior to atmospheric entry, to crash back into the capsule.

That problem was corrected in flight, but it and the timing error later were characterized as high visibility close calls by NASA prompting an additional, more focused investigation and additional recommendations to address organizational issues.

Altogether, some 80 recommendations are being implemented to improve testing and simulations (21); process and operational improvements (35); software (7); requirements (10); and knowledge capture and hardware modifications (7).

This is about tweaking the system, right? This is about tweaking the spacecraft and tweaking the software to make sure that these particular errors that were found are fixed, said Kathy Lueders, former manager of the Commercial Crew Program and now the director of Human Exploration and Operations at NASA Headquarters. So we are making progress and doing the next steps to go fly with Boeing next year.

But few details were provided beyond general observations, in large part because Boeing, like SpaceX, is operating under a commercial contract that protects proprietary data.

Lueders said agency managers have been struggling with how to ensure transparency while trying to protect the specific proprietary data that the Boeing folks have.

We also want to make sure that in the future, we can have this open conversation between us and our providers, so that we can ferret out issues without them being worried at the end of something being put out there that they have issues with, she said.

So were really struggling with how to be transparent and letting you see the pieces, but want to make sure that in the future were not going to do something by putting out a report that then prevents open and honest conversations through our programs together.

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NASA outlines recommendations to clear path for Boeing to resume Starliner flights - Spaceflight Now

ISRO doesn’t know when it will be ready to restart space launches – Business Insider India

At the start of 2020, Indian Space Research Organisation (ISRO) Chairman and Secretary Department of Space K. Sivan said that the space agency was planning to have 25 launches -- including Aditya-L1 satellite, Geo Imaging Satellite (GISAT-1), realisation of Small Satellite Launch Vehicle (SSLV) or small rocket (carrying capacity 500 kg), navigation satellite with indigenous atomic clocks and Indian Data Relay Satellite System (IDRSS), and GSAT-20 satellite with electric propulsion.

Sivan also said India will embark on its third moon mission 'Chandrayaan-3' and attempt to land a lander on the lunar surface sometime in 2020-21.

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The year began well ISRO with the launch of the 3,357 kg communication satellite GSAT-30 by the European space agency Arianespace rocket Ariane 5 on January 17.

The ISRO also showcased its robot/half-humanoid -- Vyommitra - which was part of its human space mission programme 'Gaganyaan'.

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The ISRO did not share any detail about the technical reasons, or the glitch, and its rectification since then. It is also not known when the satellite with a very good camera would be launched.

Then came the Covid-19 lockdown within and outside India that had its cascading impact on ISRO's core plans like the realisation of SSLV, launch of GISAT-1, delay in the first test-flight of the rocket as part of Gaganyaan mission.

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It is also not known when ISRO will be able to restart its satellite launch operations.

With coronavirus infection spreading fast in the county, ISRO also started work on developing a low-cost ventilator and sanitiser.

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On May 16, Union Finance Minister Nirmala Sitharaman announced that Indian private sector will be a co-traveller in India's space-sector journey and a level-playing field will be provided for them in satellites, launches, and space-based services.

She also said that a predictable policy and regulatory environment will be provided to private players.

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Welcoming the announcement, sectoral experts suggested various models for restructuring of ISRO and also urged the government to set up an independent regulator and also enact necessary legislation.

On June 24, the Union Cabinet decided to set up Indian National Space Promotion and Authorisation Centre (IN-SPACe), making ISRO to focus on research and development (R&D) of new technologies, exploration missions, and human spaceflight programme.

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He also said the New Space India Limited (NSIL) will endeavour to re-orient space activities from a 'supply driven' model to 'demand driven' model, thereby ensuring optimum utilisation of the country's space assets.

Former ISRO Chairman Madhavan Nair said there should be a national space law to define responsibilities and liabilities.

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"We are on the job of getting ready the Space Activities Bill. It will define the space activities, liabilities and other aspects," he added.

As part of the reform process, new navigation policy is also being proposed. Suitable changes in the remote sensing data policy as well as SATCOM policy are on the anvil to align them to an open and inclusive space sector, said Sivan.

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Establishing an independent regulator could allow a systematic review and reforms on a continuous basis rather than one-off announcements, Prasad said.

As per current scheme of things, IN-SPACe will have its own directorates for technical, legal, safety and security, monitoring as well as activities promotion for assessing the private sector's needs and coordination of the activities.

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"Initially, IN-SPACe will be manned by people from the existing space setup. Later, people from outside will be taken in. It will have its funds from the budgetary allocations for the DoS. The new body may not need big financial allocations," Sivan remarked.

Stressing that the ISRO's importance will not diminish with the entry of IN-SPACe, Sivan said all the existing centres - manufacturing, services, rocket launch centres - would continue to be with the ISRO.

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Industry officials are hoping to see further steps being taken by the government regarding the space sector during the second half of 2020.

But as regards the satellite launches - domestic as well as foreign for a fee - by ISRO during the year depends on the spread or control of coronavirus and the resultant lockdown.

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ISRO doesn't know when it will be ready to restart space launches - Business Insider India

Chinese scientists reveal analysis of weird substance found on the moon’s far side by Yutu 2 rover – Space.com

Chinese scientists have published an analysis of a curious substance on the moon which generated widespread interest following its discovery by the Yutu 2 rover last year.

The discovery was made by a Yutu 2 drive team member in July 2019, during lunar day 8 of the rover's mission, which is part of China's Chang'e 4 mission to explore the far side of the moon. A report by Our Space, a Chinese-language science-outreach publication, revealed the discovery on Aug. 17 and described the substance using the term "" ("jiao zhuang wu"), which can be translated as "gel-like."

This description, along with the initial absence of images, sparked wide interest as well as speculation among lunar scientists.

Related: China releases huge batch of amazing Chang'e 4 images from moon's far side

However the substance is, as expected by scientists, made up of rock. In their article in Earth and Planetary Science Letters, Gou Sheng and colleagues analyzed data from Yutu 2's panoramic and hazard avoidance cameras, and the rover's Visible and Near-Infrared Spectrometer (VNIS) instrument.

They used a procedure called spectral unmixing to break down the measured spectra from VNIS to determine the likely composition and abundance of the material.

The authors describe the material as a dark greenish and glistening impact melt breccia, measuring 20 inches by 6 inches (52 by 16 centimeters). These features are signs of possible presence of glasses, which are usually sourced from impact melts or from volcanic eruptions.

According to the paper, the breccia broken fragment of minerals cemented together was formed by impact-generated welding, cementing and agglutinating of lunar regolith and breccia.

The material, they say, resembles lunar impact melt breccia samples returned by NASA's Apollo missions. In particular, similarities with the Apollo samples designated 15466 and 70019 are noted, a comparison made earlier by lunar scientist Clive Neal at the University of Notre Dame.

Sample 70019, collected by astronaut and trained geologist Harrison "Jack" Schmitt, is made of dark, broken fragments of minerals cemented together and black, shiny glass.

The results are not definitive, however. The paper notes that the analysis is limited by the fact that VNIS measurements were taken under bad illumination conditions and other factors.

Dan Moriarty, NASA postdoctoral program fellow at the Goddard Space Flight Center in Greenbelt, Maryland, said that because Chang'e 4 is exploring a completely unexplored area of the moon, spectral unmixing is especially challenging.

"We don't have samples from this region that would help inform the model parameters. For this reason, the precise regolith composition results presented in this paper may not be completely accurate," Moriarty said. "However, the authors do an excellent job of rigorously documenting their approach and assumptions, so their results can be understood in the context of this extremely challenging problem."

Moriarty said their interpretation of the substance seems reasonable, and is in agreement with previous interpretations based on earlier images. "It is very inspiring that contemporary missions are discovering features on the farside of the moon that resemble features observed by the Apollo astronauts," Moriarty said.

The paper also looks at the surrounding area. The measurements lead the authors to suggest the lunar regolith consists of a mixture from multiple sources. Ejecta from the impact that created the nearby Finsen crater is considered the primary source, with possible contributions from Alder crater.

The Chang'e 4 spacecraft made its historic landing in the 110-mile-wide (180 kilometers) Von Krmn Crater on the far side of the moon in January 2019.

Yutu 2 is currently getting ready for its 20th lunar day, which begins around July 14. (One lunar day is about two Earth weeks long, as is a lunar night.) During lunar day 19, which began on June 14, the rover had driven a total of 51 feet (15.58 meters) across the lunar surface. In total, the rover has traversed about 1,520 feet (463.26 m).

The rover spent its 19th lunar morning investigating a small crater containing reflective material which could be another impact melt glass sample before continuing northwest

Yutu 2 and the Chang'e 4 lander powered down on June 27 (Chinese), bringing an end to lunar day 19.

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Chinese scientists reveal analysis of weird substance found on the moon's far side by Yutu 2 rover - Space.com

Space tourists could ride this cosmic balloon to the edge of space – TechRepublic

Competition in the space tourism industry is heating up, and a new company is taking a unique approach to near-space exploration.

IMAGE: Space Perspective

The prospect of space travel has long-since enchanted humanity. Now, as competition heats up across the burgeoning spaceflight industry, this sci-fi fantasy may soon become reality. The company Space Perspective is offering a unique transport twist on the standard spacefaring business model. Rather than harnessing the latest propulsion technology or rocket busters, the company is using a pressurized cabin and a high-altitude balloon to chauffeur tourists to the cusp of the final frontier. But how much will it cost? Also, why balloons?

Space Perspective was founded by co-CEOs Jane Poynter and Taber MacCallum. While a balloon may not immediately strike some as the ideal mode of transport for such an undertaking, the "serial entrepreneurs" behind the company have a rich history of lofty ideas tethered to these buoyant instruments.

Prior to Space Perspective, the pair founded World View Enterprises, a company that uses high-altitude balloons for a host of applications ranging from remote sensing to communication. MacCallum was previously the chief technology and safety officer at StratEx, a project which culminated with Google Executive Alan Eustace's record-setting "space dive" from a balloon at 136,000 feet. The two have parlayed this experience to reimagine the space tourism model.

Space Perspective's balloon-bound capsule, known officially as Spaceship Neptune, is designed to reach an altitude of 100,000 feet, nearly 20 miles above the Earth's surface.

"You're above 99% of the atmosphere. So for all intents and purposes, you're in space, right? We call it the edge of space," said Poynter.

IMAGE: Space Perspective

SEE:NASA's unsung heroes: The Apollo coders who put men on the moon (cover story PDF) (TechRepublic)

For the full adventure, Spaceship Neptune occupants will need to set aside about six hours. After liftoff, the balloon will slowly make its ascent at a casual speed of about 12 miles per hour. At this rate, it will take about two hours to reach the upper levels up the atmosphere. Once at the apex of its trajectory, the balloon glides along the mere cusp of the final frontier for another two hours, offering occupants incredible views.

"If we can get the passengers up and the flight up to altitude before the sun rises, you might see just the most incredible star scape you've ever seen. And then you will start to see the sunrise over the limb of the earth, and, of course, you'll see the curvature of the earth. You'll see the thin blue line of our atmosphere, you'll see the terminus go across the Earth below you," Poynter said.

SEE:Rural America is in the midst of a mental health crisis. Tech could help some patients see a way forward. (cover story PDF)(TechRepublic)

The spaceship will slowly make its descent over the course of approximately two hours, before splashing down in the ocean. Although "splashdown" may be a bit of an overstatement. It's important to understand that the Spaceship Neptune design is strikingly dissimilar to the classic reentry capsules used for returning astronauts.

"When you look at a NASA capsule, when it comes in, it almost does a belly flop on the water," Poynter said.

A water landing in Spaceship Neptune should be an exceptionally more pleasant experience, she said. Instead of a blunted flat bottom, the capsule is attenuated like a spinning top; this allows the bottom of the capsule to gently penetrate the surface of the ocean and gradually reduce speed during landing.

"You won't have to brace for impact, it should be pretty comfortable. We're really aiming to make this entire flight really gentle and accessible from beginning to end," Poynter said.

Onboard, the vessel will feature a restroom, a refreshment bar, as well as Wi-Fi, so explorers can snap and share near-space selfies in real time.

IMAGE: Space Perspective

Spaceship Neptune will eventually launch from the Shuttle Landing Facility at NASA's Kennedy Space Center in Florida. The company hopes to expand globally in select locations. The ability to take off from land, ride the winds of the upper atmosphere, and then land in water enables the company the ability to scale much more quickly than landing on terra firma.

"Landing on land is very difficult to take that around the world. It turns out that it becomes much more readily expandable around the planet by splashing down, because there [are] many, many locations, spectacular locations where you can launch from land and then splashdown. And it turns out that the winds, the stratospheric winds tend to go east and west depending on the time of year," Poynter said.

The company plans to conduct a test flight of the uncrewed capsule in the first quarter of 2021. The flight will include a full-scale capsule although the test capsule will not be at full mass, according to Poynter.

SEE:Hiring Kit: Computer Research Scientist(TechRepublic Premium)

Space Perspective has positioned itself squarely in the middle of the booming human spaceflight market. Competitors Blue Origin and Virgin Galactic are developing systems to take humans to suborbital space. Ballpark estimates for Blue Origin spaceflights range between $200,000 and $300,000. Virgin Galactic is charging prospective space tourists $250,000 a pop.

While some reports have listed a firm price for a ride on Spaceship Neptune, Poynter reiterates that a specific dollar amount has not been determined, however, the company is certainly taking the market into consideration.

"We are thinking that it's going to be somewhere in the neighborhood of half the price of the existing suborbital flight ticket providers. So you can do the math as well as anyone, that translates to about $125,000 a seat. But again, we haven't set that price," Poynter said.

IMAGE: Space Perspective

To date, a rather short list of humans have been fortunate enough to behold such an external view of planet Earth from the vacuums of space. For astronauts, staring back at one's home planet adrift in the cosmos is often a transformative experience. The emotional reaction and lasting impression of this moment is a phenomenon formally known as the Overview Effect.

"When you talk to astronauts about their experience of going to space, they really connect deeply with our planet. And not only the planet as this sort of cradle of humanity where all life exists as we know it, but also that we are all one human family," Poynter said.

Many describe the looking back at their home planet and being struck by the sheer beauty and fragility of Earth. Poynter hopes Spaceship Neptune can help bring this experience to more people in the years ahead.

"The reason that we called the company Space Perspective, is because we want to enable thousands, hundreds of thousands eventually, of people to have the experience of that space perspective, which is the experience of seeing our world as a planet in space. And then what does that mean we do with that experience?" Poynter said.

"We're all leaders in some aspects of our lives," Poynter continued. "So it is then up to each of us to internalize that experience and live our lives according to it."

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Space tourists could ride this cosmic balloon to the edge of space - TechRepublic

NASA wishes a return to the moon in 2024. New human spaceflight chief helps make no assures. – Sprout Wired

Placing astronauts back on the moon by 2024 will be no tiny feat, and NASAs new human spaceflight main Kathy Lueders has been careful not to make any guarantees she may possibly not be equipped to preserve.

I dont have a crystal ball, Lueders explained in a teleconference with reporters on June 18, when requested about the feasibility of a 2024 moon landing. I desire I understood that reply. Thatd make my job a whole lot a lot easier. We are going to consider, she claimed.

Lueders, who not too long ago became the associate administrator for NASAs Human Exploration and Operations Mission Directorate following Doug Loverros abrupt resignation, was a bit additional pragmatic about the timeline of NASAs Artemis application than her predecessor. Though Lueders seems cautiously optimistic about getting astronauts to the moon by 2024, Loverro was self-assured and unwavering in his assertion that NASA would make the deadline. At a NASA town hall in December, Loverro even reported that it is likely to be simple to make this materialize.

Related: Putting astronauts on the moon in 2024 is a tall get, NASA says

In advance of Lueders turned the head of human spaceflight at NASA, she served as the manager of NASAs Business Crew Method, the place she oversaw the initial flights of a private crew-carrying spacecraft to the International Room Station.

After a effective uncrewed exam flight of SpaceXs Crew Dragon spacecraft in March 2019 and Boeings unsuccessful very first endeavor at doing the same with its Starliner spacecraft nine months later the initially professional crew mission, SpaceXs Demo-2, properly sent NASA astronauts Bob Behnken and Doug Hurley to the room station in May. (In the meantime, Boeing is making ready for a next attempt at the uncrewed take a look at flight just before astronauts can begin traveling on Starliner.)

People missions have confronted yrs of delays and other troubles. When NASA developed its Business Crew System in 2010, the agency planned to have its astronauts consistently using non-public vessels to and from the area station by 2015. Now, 5 several years later on, the to start with industrial crew mission has only just arrived at the orbiting lab.

Linked: NASA completes investigation on flawed Boeing Starliner capsule test flight

Its pretty important to have an intense intention, Lueders mentioned in the June 18 teleconference. We experienced an intense objective in commercial crew, and I think that intense intention ensured that we had been capable to attain points as speedily as we could.

But I also think whats crucial is when you arrive throughout technological problems youre concentrated on creating certain youre achieving your intense aim in the right manner, Lueders added. Indeed, it can be taken us a minor bit lengthier to be ready to get Bob and Doug up there. But I do consider weve carried out it carefully, and doing it right is improved than performing it speedier.

Even though making certain the basic safety of its astronauts is NASAs No. 1 priority when it arrives to human spaceflight missions, the company must also consider added precautions now to safeguard its workforce on Earth from the coronavirus pandemic. Thanks to the spread of COVID-19, the sickness brought about by the novel coronavirus, NASA has now faced delays in the screening of its new Space Start System (SLS) megarocket and Orion crew capsule, which the company strategies to use for its Artemis moon missions.

Linked: NASA suspends function on SLS megarocket and Orion capsule because of to coronavirus outbreak

I just went via a mission the place the last two months of it, we ended up in COVID, Lueders claimed, referring to the SpaceX Demo-2 mission. It is hard to do the job during this period of time, but we have a sturdy crew. And I know that they are happy to have a purpose and they are delighted to be transferring in direction of the objective. And it truly is a rather terrific goal for us to be functioning toward.

If things arrive up along the way, the place technically it requires us longer then we are going to go figure it out. But right now the teams trying. It is hard, Lueders additional.

E mail Hanneke Weitering at [emailprotected] or observe her @hannekescience. Adhere to us on Twitter @Spacedotcom and onFacebook.

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NASA wishes a return to the moon in 2024. New human spaceflight chief helps make no assures. - Sprout Wired

Space sector to back 50 SP-INternships this summer – GOV.UK

The UK Space Agency-backed Space Placement in Industry Scheme (SPIN) provides unique opportunities for undergraduate students considering a career in the space sector, and for space sector organisations looking to find the talent of tomorrow.

The space sector is growing rapidly in the UK and could kick-start an additional30,000 newjob opportunities over the next decade.

Kathie Bowden, lead for Skills and Careers at the UK Space Agency, said:

The SPIN placements allow students to influence their own learning choices, providing them with an environment where they can showcase their skills and abilities to a range of employers.

The versatility of the space sector in this current climate means that the interns wont be disadvantaged this summer and will still be able to add valuable experience to their CVs.

Klara Halikova, an ecological and environmental science student at the University of Edinburgh, is on a placement with forestry and environmental monitoring company, 2Excel Geo. She said:

Big data and remote sensing are an up-and-coming field for an environmental scientist. Throughout my degree I was not given the opportunity to explore them as much as I would have liked.

This placement is allowing me to catch up with the industry allowing me to push ahead in my field.

The majority of placements are being adapted to start remotely. Placements which demand a physical presence in labs or cleanrooms have been made as flexible as possible with start dates delayed. Host companies are keeping an eye on the latest advice to adapt as changes occur.

Henry Franks is studying engineering at the University of Cambridge and is on a placement with Magdrive. Mark Stokes, Cofounder of Magdrive, explained:

We had a few ideas beforehand of having an on-hand intern technician, but when it became apparent that homeworking would be an ongoing way of working we decided we should focus on an area of research which could be done remotely.

Having Henry with us for eight weeks working solely on research and development means we can utilise his specific skill set. He can dedicate the time we would not have to a project which will shape our offer to clients, and the direction the business will take.

Forty-two internships will be funded by the UK Space Agencys Education and Space Flight Programmes this summer. A further eleven SPINternships are hosted and funded by organisations including the Satellite Applications Catapult, Quotient, an SME based in Edinburgh and the Open University.

The UK space sector is growing. Small satellitelaunch from the UK presents a huge opportunity for young people totake up careers in science, engineering or even as space entrepreneurs helping to ensure the ongoing growth of the UKs space industry.

The 53 applicants will participate in a virtual space sector induction in July and a Showcase of their work in the autumn.

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Space sector to back 50 SP-INternships this summer - GOV.UK

China Wants to Lead the World on AI. What Does That Mean for America? – The National Interest

Years ago, the thought of using software to fight a deadly pathogen might have seemed far-fetched. Today, its a reality. The Coronavirus pandemic has caused monumental shifts in the use and deployment of artificial intelligence (AI) around the world.

Of those now using AI to fight Coronavirus, none are more prominent than China. From software that diagnoses the symptoms of Coronavirus to algorithms that identify and compile data on individuals with high temperatures vis--vis infrared cameras, China is showcasing the potential applications of AI. But Beijing is also demonstrating its willingness to leverage the technology to solve many of its problems.

To understand the potential benefits and perils, we need to delve a bit deeper into the subject of AI itself. Artificial intelligence essentially falls into two categories: narrow and general. Narrow AI is a type of machine learning that is limited to specifically defined tasks, while general AI refers to totally autonomous intelligence akin to human cognition. General AI remains a distant dream for many, but the real-world implications of narrow AI exist in the presentand China is working diligently to become a world leader in it.

In his book AI Superpowers: China, Silicon Valley, and the New World Order, former Microsoft executive and Google China president Kai-Fu Lee describes how the country began rapid development of AI as a response to AlphaGo, a software program that successfully bested the worlds top player in the ancient game of Go back in 2017. That victory, Lee explains, showcased China's Communist Party (CCP) research and technology with infinite potential.

The revelation was a sea-change. In its 2019 Annual Report, the U.S.-China Economic and Security Review Commission noted that the Next Generation AI Development Plan released in 2017 by Chinas State Council marked a shift in Chinas approach to AI, from pursuing specific applications to prioritizing AI as foundational to overall economic competitiveness.

The results have been rapidand pronounced. China is still considered to be second in the race to AI (behind the U.S.), but it is quickly gaining traction. As the United Nations World Intellectual Property Organization (WIPO) noted last year, China leads in AI-related publications and patent applications originating from public research institutions, and the gap is shrinking between the U.S. and China in patent requests originating from the private sector.

And because the aggregation of vast swathes of data is what drives the most effective artificial intelligence, China is in a unique position to persevere. With the worlds largest population and close to no data privacy protections, the PRC has the potential to develop the worlds best AI products.

Beijing is also working hard to maintain its freedom of action in this domain. Back in March, China triedand nearly succeededin installing its candidate as head of the WIPO, a move that would essentially have assured that its lengthy track record of violating intellectual property rights, theft and espionage would not come with any consequences.

Those practices are already raising international hackles. In April of 2020, Bloomberg reported that electric carmaker Tesla is now seeking further legal action to analyze the source code of a competitors product in China after a former Tesla employee allegedly left the company in 2018 for the Chinese startup, carrying with him secrets from Teslas self-driving AI, AutoPilot.

But the CCP is also harnessing AI to strengthen its authoritarian state. Against the backdrop of the coronavirus pandemic, the Chinese government has stepped up its repressive domestic practices, including its persecution and detention of Uyghur Muslims in Western China and a broad crackdown on Hong Kong. Worryingly, Chinese advances in AI seem to be empowering these practices, as well as making them more effective.

These dynamics should matter a great deal to the United States, which has stepped up its strategic competition with China in earnest in recent months. Chinas activism on the AI front, and its attention to this emerging technology, has made abundantly clear that the PRC places tremendous value on dominating the field of AI. Washington should think deeply about what that would mean, in both a political and a technological sense. And then it should get just as serious in this sphere as well.

Ryan Christensen is a researcher at the American Foreign Policy Council in Washington, DC.

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China Wants to Lead the World on AI. What Does That Mean for America? - The National Interest

New Study Attempts to Improve Hate Speech Detection Algorithms – Unite.AI

Social media companies, especially Twitter, have long faced criticism for how they flag speech and decide which accounts to ban. The underlying problem almost always has to do with the algorithms that they use to monitor online posts. Artificial intelligence systems are far from perfect when it comes to this task, but there is work constantly being done to improve them.

Included in that work is a new study coming out of the University of Southern California that attempts to reduce certain errors that could result in racial bias.

One of the issues that doesnt receive as much attention has to do with algorithms that are meant to stop the spread of hateful speech but actually amplify racial bias. This happens when the algorithms fail to recognize context and end up flagging or blocking tweets from minority groups.

The biggest problem with the algorithms in regard to context is that they are oversensitive to certain group-identifying terms like black, gay, and transgender. The algorithms consider these hate speech classifiers, but they are often used by members of those groups and the setting is important.

In an attempt to resolve this issue of context blindness, the researchers created a more context-sensitive hate speech classifier. The new algorithm is less likely to mislabel a post as hate speech.

The researchers developed the new algorithms with two new factors in mind: the context in regard to the group identifiers, and whether there are also other features of hate speech present in the post, like dehumanizing language.

Brendan Kennedy is a computer science Ph.D. student and co-lead author of the study, which was published on July 6 at ACL 2020.

We want to move hate speech detection closer to being ready for real-world application, said Kennedy.

Hate speech detection models often break, or generate bad predictions, when introduced to real-world data, such as social media or other online text data, because they are biased by the data on which they are trained to associate the appearance of social identifying terms with hate speech.

The reason the algorithms are oftentimes inaccurate is that they are trained on imbalanced datasets with extremely high rates of hate speech. Because of this, the algorithms fail to learn how to handle what social media actually looks like in the real world.

Professor Xiang is an expert in natural language processing.

It is key for models to not ignore identifiers, but to match them with the right context, said Ren.

If you teach a model from an imbalanced dataset, the model starts picking up weird patterns and blocking users inappropriately.

To test the algorithm, the researchers used a random sample of text from two social media sites that have a high-rate of hate speech. The text was first hand-flagged by humans as prejudiced or dehumanizing. The state-of-the-art model was then measured against the researchers own model for inappropriately flagging non-hate speech, through the use of 12,500 New York Times articles with no hate speech present. While the state-of-the-art models were able to achieve 77% accuracy in identifying hate vs non-hate, the researchers model was higher at 90%.

This work by itself does not make hate speech detection perfect, that is a huge project that many are working on, but it makes incremental progress, said Kennedy.

In addition to preventing social media posts by members of protected groups from being inappropriately censored, we hope our work will help ensure that hate speech detection does not do unnecessary harm by reinforcing spurious associations of prejudice and dehumanization with social groups.

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New Study Attempts to Improve Hate Speech Detection Algorithms - Unite.AI

DeepMind researchers propose rebuilding the AI industry on a base of anticolonialism – VentureBeat

Take the latest VB Survey to share how your company is implementing AI today.

Researchers from Googles DeepMind and the University of Oxford recommend that AI practitioners draw on decolonial theory to reform the industry, put ethical principles into practice, and avoid further algorithmic exploitation or oppression.

The researchers detailed how to build AI systems while critically examining colonialism and colonial forms of AI already in use in a preprint paper released Thursday. The paper was coauthored by DeepMind research scientists William Isaac and Shakir Mohammed and Marie-Therese Png, an Oxford doctoral student and DeepMind Ethics and Society intern who previously provided tech advice to the United Nations Secretary Generals High-level Panel on Digital Cooperation.

The researchers posit that power is at the heart of ethics debates and that conversations about power are incomplete if they do not include historical context and recognize the structural legacy of colonialism that continues to inform power dynamics today. They further argue that inequities like racial capitalism, class inequality, and heteronormative patriarchy have roots in colonialism and that we need to recognize these power dynamics when designing AI systems to avoid perpetuating such harms.

Any commitment to building the responsible and beneficial AI of the future ties us to the hierarchies, philosophy, and technology inherited from the past, and a renewed responsibility to the technology of the present, the paper reads. This is needed in order to better align our research and technology development with established and emerging ethical principles and regulation, and to empower vulnerable peoples who, so often, bear the brunt of negative impacts of innovation and scientific progress.

The paper incorporates a range of suggestions, such as analyzing data colonialism and decolonization of data relationshipsand employing the critical technical approach to AI development Philip Agre proposed in 1997.

The notion of anticolonial AI builds on a growing body of AI research that stresses the importance of including feedback from people most impacted by AI systems. An article released in Nature earlier this week argues that the AI community must ask how systems shift power and asserts that an indifferent field serves the powerful. VentureBeat explored how power shapes AI ethics in a special issue last fall. Power dynamics were also a main topic of discussion at the ACM FAccT conference held in early 2020 as more businesses and national governments consider how to put AI ethics principles into practice.

The DeepMind paper interrogates how colonial features are found in algorithmic decision-making systems and what the authors call sites of coloniality, or practices that can perpetuate colonial AI. These include beta testing on disadvantaged communities like Cambridge Analytica conducting tests in Kenya and Nigeria or Palantir using predictive policing to target Black residents of New Orleans. Theres also ghost work, the practice of relying on low-wage workers for data labeling and AI system development. Some argue ghost work can lead to the creation of a new global underclass.

The authors define algorithmic exploitation as the ways institutions or businesses use algorithms to take advantage of already marginalized people and algorithmic oppression as the subordination of a group of people and privileging of another through the use of automation or data-driven predictive systems.

Ethics principles from groups like G20 and OECD feature in the paper, as well as issues like AI nationalism and the rise of the U.S. and China as AI superpowers.

Power imbalances within the global AI governance discourse encompasses issues of data inequality and data infrastructure sovereignty, but also extends beyond this. We must contend with questions of who any AI regulatory norms and standards are protecting, who is empowered to project these norms, and the risks posed by a minority continuing to benefit from the centralization of power and capital through mechanisms of dispossession, the paper reads. Tactics the authors recommend include political community action, critical technical practice, and drawing on past examples of resistance and recovery from colonialist systems.

A number of members of the AI ethics community, from relational ethics researcher Abeba Birhane to Partnership on AI, have called on machine learning practitioners to place people who are most impacted by algorithmic systems at the center of development processes. The paper explores concepts similar to those in a recent paper about how to combat anti-Blackness in the AI community, Ruha Benjamins concept of abolitionist tools, and ideas of emancipatory AI.

The authors also incorporate a sentiment expressed in an open letter Black members of the AI and computing community released last month during Black Lives Matter protests, which asks AI practitioners to recognize the ways their creations may support racism and systemic oppression in areas like housing, education, health care, and employment.

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DeepMind researchers propose rebuilding the AI industry on a base of anticolonialism - VentureBeat

10 Jobs That Should Emerge to Help Enterprises Advance AI and ML – ITPro Today

Here and elsewhere, youve likely read many articles and studies on the potentially transformative effect of artificial intelligence and machine learning on the workplace. Weve seen some of that transformation unfold more quickly during the ongoing COVID-19 pandemic, as workplaces across sectors explore automation to ensure essential processes, from security checks to invoice payments, keep happening.

There are concerns that AI and ML will cause significant job losses, and it seems inevitable that they will change or even eliminate some kinds of positions. But to unlock the potential of AI and ML for the enterprise, existing job roles must be filled and new ones must be created. Below are 10 workplace roles that could emerge as AI/ML continues to advance and organizations continue to integrate the technology into their operations.

1. Knowledge manager: As part of its Project Cortex rollout, Microsoft wants companies to hire knowledge managers. These employees would be responsible for the quality of knowledge shared across an organization and aggregating a companywide taxonomy.

2. AI scientist: Some organizations, of course, have just such a role in place already but as artificial intelligence becomes increasingly powerful and adopted by more and more organizations, these specialists will become essential to a growing number of companies.

3. AI manager: And of course, if you are adding AI scientists and other AI/ML experts to your team, someone with knowledge and experience in that field needs to manage them and help them work together. Management staffers with specific experience in artificial intelligence and machine learning could become increasingly important in integrating these technologies across an organization.

4. Subject matter expert: Also recommended by Microsoft in relation to Project Cortex, an organizations subject matter experts would have a deep understanding of how information is organized in the areas under their purview. As Microsoft imagines it, the one in this role would work closely with the knowledge manager.

5. Personality designer: Behind every AI architecture is a personality that someone had to design. Think of Siri, for example. Someone decided what the responses would be like, how the voice would sound, etc. As virtual assistants powered by machine learning become an increasingly common part of our work (and home) lives, the work of these designers and related workers, like writers and UI/UX professionals will be in even more demand.

6. AI trainer: The underlying structures of AI and ML products and services must be trained and trained well to be effective. That can be done with machines, but its likely to be far more effective if a human is selecting the information with an eye to effectiveness and bias.

7. Content services administrator: In some cases, a content services or knowledge administrator would represent an expansion of an existing role, like a SharePoint or Teams administrator. But this IT professional would set up and run knowledge product suites, like Cortex, Microsoft hopes.

8. Intelligence ethicist: The world is increasingly grappling with ethical issues brought forward by AI and ML, from built-in bias to spurious or even dangerous or illegal applications of technology. Large firms, in particular, will need intelligence ethicists to guide the decisions made by the products and services they are developing.

9. Data detective: Have you been impressed by the work done by COVID-19 contact tracers or intrigued by the possibilities (and pitfalls) of location tracing apps? Work as a data detective could be in your future. These employees could use data points for example, the locations someone has visited to solve problems, create datasets for AI/ML training, and develop new products and services.

10. Data broker: AI- and ML-driven technologies require reams of data to learn from, and that data has to come from somewhere. A data broker would be in charge of accessing, managing and deploying that data for an organization. Its a role likely to become increasingly complex as more and more jurisdictions add data-centric regulations like the California Consumer Privacy Act.

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10 Jobs That Should Emerge to Help Enterprises Advance AI and ML - ITPro Today

Reducing bias in AI-based financial services – Brookings Institution

Artificial intelligence (AI) presents an opportunity to transform how we allocate credit and risk, and to create fairer, more inclusive systems. AIs ability to avoid the traditional credit reporting and scoring system that helps perpetuate existing bias makes it a rare, if not unique, opportunity to alter the status quo. However, AI can easily go in the other direction to exacerbate existing bias, creating cycles that reinforce biased credit allocation while making discrimination in lending even harder to find. Will we unlock the positive, worsen the negative, or maintain the status quo by embracing new technology?

This paper proposes a framework to evaluate the impact of AI in consumer lending. The goal is to incorporate new data and harness AI to expand credit to consumers who need it on better terms than are currently provided. It builds on our existing systems dual goals of pricing financial services based on the true risk the individual consumer poses while aiming to prevent discrimination (e.g., race, gender, DNA, marital status, etc.). This paper also provides a set of potential trade-offs for policymakers, industry and consumer advocates, technologists, and regulators to debate the tensions inherent in protecting against discrimination in a risk-based pricing system layered on top of a society with centuries of institutional discrimination.

AI is frequently discussed and ill defined. Within the world of finance, AI represents three distinct concepts: big data, machine learning, and artificial intelligence itself. Each of these has recently become feasible with advances in data generation, collection, usage, computing power, and programing. Advances in data generation are staggering: 90% of the worlds data today were generated in the past two years, IBM boldly stated. To set parameters of this discussion, below I briefly define each key term with respect to lending.

Big data fosters the inclusion of new and large-scale information not generally present in existing financial models. In consumer credit, for example, new information beyond the typical credit-reporting/credit-scoring model is often referred to by the most common credit-scoring system, FICO. This can include data points, such as payment of rent and utility bills, and personal habits, such as whether you shop at Target or Whole Foods and own a Mac or a PC, and social media data.

Machine learning (ML) occurs when computers optimize data (standard and/or big data) based on relationships they find without the traditional, more prescriptive algorithm. ML can determine new relationships that a person would never think to test: Does the type of yogurt you eat correlate with your likelihood of paying back a loan? Whether these relationships have casual properties or are only proxies for other correlated factors are critical questions in determining the legality and ethics of using ML. However, they are not relevant to the machine in solving the equation.

What constitutes true AI is still being debated, but for purposes of understanding its impact on the allocation of credit and risk, lets use the term AI to mean the inclusion of big data, machine learning, and the next step when ML becomes AI. One bank executive helpfully defined AI by contrasting it with the status quo: Theres a significant difference between AI, which to me denotes machine learning and machines moving forward on their own, versus auto-decisioning, which is using data within the context of a managed decision algorithm.

Americas current legal and regulatory structure to protect against discrimination and enforce fair lending is not well equipped to handle AI. The foundation is a set of laws from the 1960s and 1970s (Equal Credit Opportunity Act of 1974, Truth in Lending Act of 1968, Fair Housing Act of 1968, etc.) that were based on a time with almost the exact opposite problems we face today: not enough sources of standardized information to base decisions and too little credit being made available. Those conditions allowed rampant discrimination by loan officers who could simply deny people because they didnt look credit worthy.

Today, we face an overabundance of poor-quality credit (high interest rates, fees, abusive debt traps) and concerns over the usage of too many sources of data that can hide as proxies for illegal discrimination. The law makes it illegal to use gender to determine credit eligibility or pricing, but countless proxies for gender exist from the type of deodorant you buy to the movies you watch.

Americas current legal and regulatory structure to protect against discrimination and enforce fair lending is not well equipped to handle AI.

The key concept used to police discrimination is that of disparate impact. For a deep dive into how disparate impact works with AI, you can read my previous work on this topic. For this article, it is important to know that disparate impact is defined by the Consumer Financial Protection Bureau as when: A creditor employs facially neutral policies or practices that have an adverse effect or impact on a member of a protected class unless it meets a legitimate business need that cannot reasonably be achieved by means that are less disparate in their impact.

The second half of the definition provides lenders the ability to use metrics that may have correlations with protected class elements so long as it meets a legitimate business need,andthere are no other ways to meet that interest that have less disparate impact. A set of existing metrics, including income, credit scores (FICO), and data used by the credit reporting bureaus, has been deemed acceptable despite having substantial correlation with race, gender, and other protected classes.

For example, consider how deeply correlated existing FICO credit scores are with race. To start, it is telling how little data is made publicly available on how these scores vary by race. The credit bureau Experian is eager to publicize one of its versions of FICO scores by peoples age, income, and even what state or city they live in, but not by race. However, federal law requires lenders to collect data on race for home mortgage applications, so we do have access to some data. As shown in the figure below, the differences are stark.

Among people trying to buy a home, generally a wealthier and older subset of Americans, white homebuyers have an average credit score 57 points higher than Black homebuyers and 33 points higher than Hispanic homebuyers. The distribution of credit scores is also sharply unequal: More than 1 in 5 Black individuals have FICOs below 620, as do 1 in 9 among the Hispanic community, while the same is true for only 1 out of every 19 white people. Higher credit scores allow borrowers to access different types of loans and at lower interest rates. One suspects the gaps are even broader beyond those trying to buy a home.

If FICO were invented today, would it satisfy a disparate impact test? The conclusion of Rice and Swesnik in their law review article was clear: Our current credit-scoring systems have a disparate impact on people and communities of color. The question is mute because not only is FICO grandfathered, but it has also become one of the most important factors used by the financial ecosystem. I have described FICO as the out of tune oboe to which the rest of the financial orchestra tunes.

New data and algorithms are not grandfathered and are subject to the disparate impact test. The result is a double standard whereby new technology is often held to a higher standard to prevent bias than existing methods. This has the effect of tilting the field against new data and methodologies, reinforcing the existing system.

Explainability is another core tenant of our existing fair lending system that may work against AI adoption. Lenders are required to tell consumers why they were denied. Explaining the rationale provides a paper trail to hold lenders accountable should they be engaging in discrimination. It also provides the consumer with information to allow them to correct their behavior and improve their chances for credit. However, an AIs method to make decisions may lack explainability. As Federal Reserve Governor Lael Brainard described the problem: Depending on what algorithms are used, it is possible that no one, including the algorithms creators, can easily explain why the model generated the results that it did. To move forward and unlock AIs potential, we need a new conceptual framework.

To start, imagine a trade-off between accuracy (represented on the y-axis) and bias (represented on the x-axis). The first key insight is that the current system exists at the intersection of the axes we are trading off: the graphs origin. Any potential change needs to be considered against the status-quonot an ideal world of no bias nor complete accuracy. This forces policymakers to consider whether the adoption of a new system that contains bias, but less than that in the current system, is an advance. It may be difficult to embrace an inherently biased framework, but it is important to acknowledge that the status quo is already highly biased. Thus, rejecting new technology because it contains some level of bias does not mean we are protecting the system against bias. To the contrary, it may mean that we are allowing a more biased system to perpetuate.

As shown in the figure above, the bottom left corner (quadrant III) is one where AI results in a system that is more discriminatory and less predictive. Regulation and commercial incentives should work together against this outcome. It may be difficult to imagine incorporating new technology that reduces accuracy, but it is not inconceivable, particularly given the incentives in industry to prioritize decision-making and loan generation speed over actual loan performance (as in the subprime mortgage crisis). Another potential occurrence of policy moving in this direction is the introduction of inaccurate data that may confuse an AI into thinking it has increased accuracy when it has not. The existing credit reporting system is rife with errors: 1 out of every 5 people may have material error on their credit report. New errors occur frequentlyconsider the recent mistake by one student loan servicer that incorrectly reported 4.8 million Americans as being late on paying their student loans when in fact in the government had suspended payments as part of COVID-19 relief.

The data used in the real world are not as pure as those model testing. Market incentives alone are not enough to produce perfect accuracy; they can even promote inaccuracy given the cost of correcting data and demand for speed and quantity. As one study from the Federal Reserve Bank of St. Louis found, Credit score has not acted as a predictor of either true risk of default of subprime mortgage loans or of the subprime mortgage crisis. Whatever the cause, regulators, industry, and consumer advocates ought to be aligned against the adoption of AI that moves in this direction.

The top right (quadrant I) represents incorporation of AI that increases accuracy and reduces bias. At first glance, this should be a win-win. Industry allocates credit in a more accurate manner, increasing efficiency. Consumers enjoy increased credit availability on more accurate terms and with less bias than the existing status quo. This optimistic scenario is quite possible given that a significant source of existing bias in lending stems from the information used. As the Bank Policy Institute pointed out in its in discussion draft of the promises of AI: This increased accuracy will benefit borrowers who currently face obstacles obtaining low-cost bank credit under conventional underwriting approaches.

One prominent example of a win-win system is the use of cash-flow underwriting. This new form of underwriting uses an applicants actual bank balance over some time frame (often one year) as opposed to current FICO based model which relies heavily on seeing whether a person had credit in the past and if so, whether they were ever in delinquency or default. Preliminary analysis by FinReg Labs shows this underwriting system outperforms traditional FICO on its own, and when combined with FICO is even more predictive.

Cash-flow analysis does have some level of bias as income and wealth are correlated with race, gender, and other protected classes. However, because income and wealth are acceptable existing factors, the current fair-lending system should have little problem allowing a smarter use of that information. Ironically, this new technology meets the test because it uses data that is already grandfathered.

That is not the case for other AI advancements. New AI may increase credit access on more affordable terms than what the current system provides and still not be allowable. Just because AI has produced a system that is less discriminatory does not mean it passes fair lending rules. There is no legal standard that allows for illegal discrimination in lending because it is less biased than prior discriminatory practices. As a 2016 Treasury Department study concluded, Data-driven algorithms may expedite credit assessments and reduce costs, they also carry the risk of disparate impact in credit outcomes and the potential for fair lending violations.

For example, consider an AI that is able, with a good degree of accuracy, to detect a decline in a persons health, say through spending patterns (doctors co-pays), internet searches (cancer treatment), and joining new Facebook groups (living with cancer). Medical problems are a strong indicator of future financial distress. Do we want a society where if you get sick, or if a computer algorithm thinks you are ill, that your terms of credit decrease? That may be a less biased system than we currently have, and not one that policymakers and the public would support. Of all sudden what seems like a win-win may not actually be one that is so desirable.

AI that increases accuracy but introduces more bias gets a lot of attention, deservedly so. This scenario represented in the top left (quadrant II) of this framework can range from the introduction of data that are clear proxies for protected classes (watch Lifetime or BET on TV) to information or techniques that, on a first glance, do not seem biased but actually are. There are strong reasons to believe that AI will naturally find proxies for race, given that there are large income and wealth gaps between races. As Daniel Schwartz put it in his article on AI and proxy discrimination: Unintentional proxy discrimination by AIs is virtually inevitable whenever the law seeks to prohibit discrimination on the basis of traits containing predictive information that cannot be captured more directly within the model by non-suspect data.

Proxy discrimination by AI is even more concerning because the machines are likely to uncover proxies that people had not previously considered.

Proxy discrimination by AI is even more concerning because the machines are likely to uncover proxies that people had not previously considered. Think about the potential to use whether or not a person uses a Mac or PC, a factor that is both correlated to race and whether people pay back loans, even controlling for race.

Duke Professor Manju Puri and co-authors were able to build a model using non-standard data that found substantial predictive power in whether a loan was repaid through whether that persons email address contained their name. Initially, that may seem like a non-discriminatory variable within a persons control. However, economists Marianne Bertrand and Sendhil Mullainathan have shown African Americans with names heavily associated with their race face substantial discrimination compared to using race-blind identification. Hence, it is quite possible that there is a disparate impact in using what seems like an innocuous variable such as whether your name is part of your email address.

The question for policymakers is how much to prioritize accuracy at a cost of bias against protected classes. As a matter of principle, I would argue that our starting point is a heavily biased system, and we should not tolerate the introduction of increased bias. There is a slippery slope argument of whether an AI produced substantial increases in accuracy with the introduction of only slightly more bias. Afterall, our current system does a surprisingly poor job of allocating many basic credits and tolerates a substantially large amount of bias.

Industry is likely to advocate for inclusion of this type of AI while consumer advocates are likely to oppose its introduction. Current law is inconsistent in its application. Certain groups of people are afforded strong anti-discrimination protection against certain financial products. But again, this varies across financial product. Take gender for example. It is blatantly illegal under fair lending laws to use gender or any proxy for gender in allocating credit. However, gender is a permitted use for price difference for auto insurance in most states. In fact, for brand new drivers, gender may be the single biggest factor used in determining price absent any driving record. America lacks a uniform set of rules on what constitutes discrimination and what types of attributes cannot be discriminated against. Lack of uniformity is compounded by the division of responsibility between federal and state governments and, within government, between the regulatory and judicial system for detecting and punishing crime.

The final set of trade-offs involve increases in fairness but reductions in accuracy (quadrant IV in the bottom right). An example includes an AI with the ability to use information about a persons human genome to determine their risk of cancer. This type of genetic profiling would improve accuracy in pricing types of insurance but violates norms of fairness. In this instance, policymakers decided that the use of that information is not acceptable and have made it illegal. Returning to the role of gender, some states have restricted the use of gender in car insurance. California most recently joined the list of states no longer allowing gender, which means that pricing will be more fair but possibly less accurate.

Industry pressures would tend to fight against these types of restrictions and press for greater accuracy. Societal norms of fairness may demand trade-offs that diminish accuracy to protect against bias. These trade-offs are best handled by policymakers before the widespread introduction of this information such as the case with genetic data. Restricting the use of this information, however, does not make the problem go away. To the contrary, AIs ability to uncover hidden proxies for that data may exacerbate problems where society attempts to restrict data usage on the grounds of equity concerns. Problems that appear solved by prohibitions then simply migrate into the algorithmic world where they reappear.

The underlying takeaway for this quadrant is one in which social movements that expand protection and reduce discrimination are likely to become more difficult as AIs find workarounds. As long as there are substantial differences in observed outcomes, machines will uncover differing outcomes using new sets of variables that may contain new information or may simply be statistically effective proxies for protected classes.

The status quo is not something society should uphold as nirvana. Our current financial system suffers not only from centuries of bias, but also from systems that are themselves not nearly as predictive as often claimed. The data explosion coupled with the significant growth in ML and AI offers tremendous opportunity to rectify substantial problems in the current system. Existing anti-discrimination frameworks are ill-suited to this opportunity. Refusing to hold new technology to a higher standard than the status quo results in an unstated deference to the already-biased current system. However, simply opening the flood gates under the rules of can you do better than today opens up a Pandoras box of new problems.

The status quo is not something society should uphold as nirvana. Our current financial system suffers not only from centuries of bias, but also from systems that are themselves not nearly as predictive as often claimed.

Americas fractured regulatory system, with differing roles and responsibilities across financial products and levels of government, only serves to make difficult problems even harder. With lacking uniform rules and coherent frameworks, technological adoption will likely be slower among existing entities setting up even greater opportunities for new entrants. A broader conversation regarding how much bias we are willing to tolerate for the sake of improvement over the status quo would benefit all parties. That requires the creation of more political space for sides to engage in a difficult and honest conversation. The current political moment in time is ill-suited for that conversation, but I suspect that AI advancements will not be willing to wait until America is more ready to confront these problems.

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Reducing bias in AI-based financial services - Brookings Institution