Digitalization and breakthroughs in artificial intelligence (AI) will lead to the emergence of new professions according to experts.

It has been predicted that "smart home designers," "digital tailors," "digital therapists," "robo-psychologists," and "troll detectors" will be a few of the most desirable professions for the future generation.

Associate professor ebnem zdemir of stinye University said that AI has been the focus of advanced technology but its effects on professions are now more than ever.

"Data is now the most important thing. Hence, the professions which have nothing to do with data are doomed in the future. It is possible to say that the future is about professions supported by AI," added zdemir.

zdemir also claimed that future employers will expect their employees to work hand-in-hand with robots as well.

"People will be expected to team up with robots. In order to organize the teamwork, a new profession called 'human-robot team management' will come to being," said zdemir.

According to experts, a total of at least 143 new professions will develop in the future. Each of these new professions will require a special set of skills to manage the coordination between humans and AI.

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Artificial intelligence to pave way for new professions - Daily Sabah

Disruption of the job market and the economy from automation and the rise of artificial intelligence (AI) is one of the primary ideas animating Andrew YangAndrew YangOutsider candidates outpoll insider candidates Is Andrew Yang's pivot working? New Quinnipiac poll finds Biden leading in New Hampshire MOREs surprising campaign for the Democratic presidential nomination. Alone among the candidates, Yang is directly engaging with one of the central forces that will shape our futures.

Over the past ten years, I have written two books on the subject of artificial intelligence and its impact on the job market and the economy. Ive spoken at dozens of events in more than 30 countries. The majority of my presentations were given to what you might call elite audiences executives, technologists, Wall Street financiers, economists, government technocrats and so forth. Ive found that, virtually without exception, these people take the specter of technological disruption seriously.

To be sure, not everyone buys into the possibility of widespread unemployment resulting from automation. But even the most skeptical generally recognize that the speed at which AI is advancing could create a stark divide, with a large and growing fraction of our workforce left struggling to maintain a foothold in the economy.

Arecent report from the consulting firm Deloittefound that, among more than a thousand surveyed American executives, 63 percent agreed with the statement that to cut costs, my company wants to automate as many jobs as possible using AI, and 36 percent already believe that job losses from AI-enabled automation should be viewed as an ethical issue. In other words, while media pundits dismiss worries about automation, executives at Americas largest companies are actively planning for it.

It may seem odd to worry about AI and automation at a time when the headline unemployment rate is below 4 percent.But it is important to remember that this metric only captures people who are actively seeking work. Consider that, in 1965,only 3 percentof American men between the ages of 25 and 54 old enough to have completed education but too young to retire were neither working nor actively looking for employment. Today, that number is about 11 percent.

In other words, the percentage of working-age men completely disenfranchised from employment markets has nearly tripled.The economist and former Treasury secretary Laurence Summershas estimatedthat, by 2050, that number could more than double again to a quarter or even a third.

Would it be unreasonable to imagine that an economist in 1965 might have uttered the words mass unemployment if he or she had been told that the percentage of men detached from the workforce would soar in this way?To be sure, technology is not the only factor here but it is almost certainly playing a central role.

Disruption from artificial intelligence will not be a straightforward narrative of robots stealing jobs. Instead, it will include job de-skilling, in which technology makes what was once well-paid work accessible to minimum-wage or gig-economy workers with little or no training.The story so far has largely been about the elimination of solid middle-class jobs requiring moderate skill levels and the emergence of lower-paying jobs in the service sector. Indeed, the economys propensity to create large numbers of low-wage service jobs has been one of the main factors that has led to the current low levels of unemployment.

However, it is very unlikely that these jobs will continue to be created at the current pace.

The robots that already play a vital role in Amazon warehouses will soon become more dexterous and able to perform many of the tasks that now require people. Automation will inevitably invade the fast-food industry, and traditional retailers will have little choice but to turn to labor-saving technology in order to remain viable in a sector increasingly dominated by Amazon.

Nor will more educated white-collar workers get a pass on the AI disruption.Jobs that involve relatively predictable manipulation of information routine quantitative analysis, preparing periodic reports and so forth will, in many cases, be easier to automate than lower-paid work that requires physical interaction.

All this is sure to unfold in an unpredictable, sporadic way. Rather than a robot or an algorithm directly replacing a worker, we are likely to see organizations completely restructure work environments and redefine job descriptions, as more and more of the tasks now performed by people are automated.The result, in most cases, will be fewer jobs and, often, those jobs will be held by different workers with completely different skill sets and talents, and perhaps in different geographic locations.

The Democratic Partys agenda increasingly is being shaped by the Social Justice Left. If you count yourself among this movement, you should know that AI-driven automation is not a fringe issue, nor can it be dismissed as a tech bro concern.Rather, it is poised to amplify the types of inequality that you care most about. Arecent analysis from McKinsey, for example, found that automation will disproportionately impact African Americans, likely worsening the racial income and wealth gaps.The fact is that virtually everything Democrats care about inequality, health care, poverty, the environment, education, the prosperity of the middle class will be deeply influenced by relentless advances in artificial intelligence.

And yet, inexplicably, Andrew Yang is currently the only presidential candidate willing to speak honestly about the magnitude of the coming challenge and to propose solutions.

Perhaps that is why his candidacy has taken the political sphere by surprise. For a candidate who started literally at zero, with no political experience and, perhaps more importantly, no name recognition, he has gained remarkable traction and left some professional politicians including governors and U.S. senators in the dust in terms of polling, fundraising and qualifying for the partys debates. It demonstrates how his concerns about the future resonate with many voters even as much of the media hasconsistently marginalized, ignored or dismissed his campaign as unserious and, in a number of cases,quite literally erasedorskipped over it.

Like all new technologies, AI will be a dual-edged sword: It will bring new dangers, along with vast new opportunities.Ensuring that those opportunities are maximized and leveraged in an inclusive way, on behalf of everyone at every level of society, looms as one of the most vital and daunting challenges we will face in the coming years and decades.

Andrew Yang, and his warnings about the impact of AI and automation, should be taken seriously.

Martin Ford is a futurist and the author of three books, including theNew York TimesbestsellingRise of the Robots: Technology and the Threat of a Jobless Future(2015)andArchitects of Intelligence: The truth about AI from the people building it. (2018) He is the consulting artificial intelligence expert for the newRobotics and AIETFfrom Lyxor/Societe Generale, which focuses on investing in companies that will be significant participants in the AI and robotics revolution. Follow him on Twitter@MfordFuture.

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AI and automation will disrupt our world but only Andrew Yang is warning about it | TheHill - The Hill

As artificial intelligence (AI) becomes more commonplace in newsrooms, Cardiff University will be introducing the technology into its syllabus to produce 'industry-ready journalists'.

From February 2020, students on the MA International Journalism course will learn a new 'emerging journalism' module where students will use AI-powered tools to identify and report on a breaking news story, as this is becoming standard practice in local newsrooms, like Reach plc.

As well as these practical skills, the module also offers the theory of using this technology for problem-solving.

Former associate editor of Mirror.co.uk, Gavin Allen, now digital journalism lecturer, Cardiff Universitys School of Journalism, is one of the tutors the course. He stressed that aspiring journalists need to come to terms with AI, or risk being left behind by its advancements.

"There's a feeling that we need to stand back and see that this technology is proven," said Allen.

"But this technology advances so rapidly that we need to start adapting now."

"There are traditional print journalists who think 'That's not for me, I don't need to think about AI', but it is becoming widely used at publications. AI is not the future - it is happening right now."

But there is a limit to what journalists need to know. The university will bring in experts from business and computational science departments to help with the more finite solutions, such as hardcore coding.

Journalists today require a working-level proficiency in user-friendly programmes like Dataminr. When it comes to post-graduate job-seeking, this prepares them for life in a digital newsroom and provides insight into how the technology works.

AI does not stop at sifting through large datasets and mass-publishing stories. It can also be used to make repetitive tasks - like subtitling and transcription - possible in a matter of clicks and in a fraction of the time.

"If a student is able to talk about AI in a job interview which is relevant to a newsroom or organisation, it puts them ahead of a student who cant," said Allen.

"We need to be aiming to 'future proof' our students by looking at programmes already in use while teaching them critical thinking skills so they can fit those new roles rather than just filling the role of reporter."

Of course, there are significant challenges to learning and integrating this technology in a newsroom's workflow.

For one, programmes like Dataminr are costly, although the university uses the free version of Chartbeat. The big risk, however, is the temptation to become over-reliant on AI.

"Teaching students to use AI within newsrooms includes establishing the balance," Allen said.

"It may allow faster work process and thats something the industry demands, but there needs to be an understanding that algorithms can get it wrong and human oversight and interpretation are always going to be required for good journalism."

Correction: The previous version of this article said that the module was set to start in September 2020. Gavin Allen's previous job title and other details about the course have also been updated.

Gavin Allen features on a panel about using artificial intelligence to cover breaking news at Newsrewired on 27 November at Reuters, London. Head to newsrewired.com for the full agenda and tickets

If you like our news and feature articles, you can sign up to receive our free daily (Mon-Fri) email newsletter (mobile friendly).

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"Artificial intelligence is not the future - it is happening right now" - Journalism.co.uk

Dear Investors,

today we are already surrounded by applications of artificial intelligence (AI) practically on a daily basis. These applications are particularly widespread on the Internet. Intelligent or smart software decides which advertising we see on the Internet. The language assistants Alexa (Amazon) and Siri (Apple) are already artificially intelligent and can imitate human behaviour. Meanwhile, these devices can even imitate limited expressions of human emotion such as sympathy or disappointment.

This is the definition: AI enables different software to imitate human thinking and behavior. In addition, smart software recognizes recurring patterns and learns from them (machine learning). Of course, AI is of particular importance for the automotive industry. The self-propelled vehicle or robot car replaces the human driver with its own control system. The requirements here are extreme. Especially when the controller has to decide in fractions of a second in a borderline situation. The market for AI applications is therefore very complex and currently still quite confusing. As a result, almost all sizes of the Internet and software industry are present in this market segment.

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Artificial intelligence (AI): what you need to know about the megatrend - Finance Market News

NEW YORK, Nov. 12, 2019 /PRNewswire/ --Enerjoy, an artificial intelligence platform that uses personalized gamification to increase sales teams' motivation and performance, announced the launch of its series A fundraising round, as part of a remarkable event held by Strtupboost and SAP Next Gen at the latter's headquarters in New York city. Enerjoy's scientifically based solution was proven to increase sales reps performance by an average of 25%, catering leading clients as banks, insurance, travel and telecom companies in Europe and South America.

Gabby Hasson, Managing Partner at Bseed who's mother company Besadno VC invested in enerjoy last June says; "as a venture capital firm that sees hundreds of startups each year, we always look for smart technologies that can make a real impact on different industries while presenting significant scale potential. enerjoy is definitely one of those startups." Besadno joins enerjoy's former investors' list: Nielsen Innovate, Samurai-Incubate and Israeli Innovation Authority.

Enerjoy takes pride in its customers as Orange telecom and Tatra Bank in Slovakia, Coca Cola in Israel, Fattal hotel reservation centers and other media, insurance and technology companies in different countries.

The company developed a personal motivational profile algorithm based on research it has conducted with its organizational and behavioural scientists, along with other studies such as Harvard motivational model. Their conclusions were then translated into an artificial intelligence platform that uses gamification to motivate each rep individually. The platform increases each reps' sales rates and responds to changes in real time. In addition, it serves as a support tool for the teams' manager, sending relevant notifications about reps progress.

Viki Glam, enerjoy's CEO and Co-Founder noted: "We have spent a lot of time and resources to validate our motivational algorithm and to prove it can bring results to serious clients in different industries and different cultures. Now, more than ever, we are ready to raise funds in the USA and enter this exciting market!"

The event at SAP headquarters attracted about 75 New York angel investors, VC's along with seniors from SAP Next Gen.

For more information about enerjoy please contact us at: dror@enerjoy.co

SOURCE Enerjoy

http://www.enerjoy.co

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Artificial Intelligence sales platform, Enerjoy, Launches its series A fundraising round at an event held in SAP Next Gen HQ in NYC - PRNewswire

An AI that was deemed too dangerous to be released has now been released into the world.

Researchers had feared that the model, known as "GPT-2", was so powerful that it could be maliciously misused by everyone from politicians to scammers.

GPT-2 was created for a simple purpose: it can be fed a piece of text, and is able to predict the words that will come next. By doing so, it is able to create long strings of writingthat are largely indistinguishable from those written by a human being.

Sharing the full story, not just the headlines

But it became clear that it was worryingly good at that job, with its text creation so powerful that it could be used to scam people and may undermine trust in the things we read.

What's more, the model can be abused by extremist groups to create "synthetic propaganda" that would allow them to automatically generate long text promoting white supremacy or jihadist Islamis, for instance.

Google celebrates its 21st birthday on September 27. The The search engine was founded in September 1998 by two PhD students, Larry Page and Sergey Brin, in their dormitories at Californias Stanford University. Page and Brin chose the name google as it recalled the mathematic term 'googol', meaning 10 raised to the power of 100

Google

Russia has launched a humanoid robot into space on a rocket bound for the International Space Station (ISS). The robot Fedor will spend 10 days aboard the ISS practising skills such as using tools to fix issues onboard. Russia's deputy prime minister Dmitry Rogozin has previously shared videos of Fedor handling and shooting guns at a firing range with deadly accuracy.

Dmitry Rogozin/Twitter

Chief engineer of LIFT aircraft Balazs Kerulo demonstrates the company's "Hexa" personal drone craft in Lago Vista, Texas on June 3 2019

Reuters

Microsoft announced Project Scarlett, the successor to the Xbox One, at E3 2019. The company said that the new console will be 4 times as powerful as the Xbox One and is slated for a release date of Christmas 2020

Getty

Apple has announced the new iPod Touch, the first new iPod in four years. The device will have the option of adding more storage, up to 256GB

Apple

Samsung will cancel orders of its Galaxy Fold phone at the end of May if the phone is not then ready for sale. The $2000 folding phone has been found to break easily with review copies being recalled after backlash

PA

Apple has cancelled its AirPower wireless charging mat, which was slated as a way to charge numerous apple products at once

AFP/Getty

India has claimed status as part of a "super league" of nations after shooting down a live satellite in a test of new missile technology

EPA

5G wireless internet is expected to launch in 2019, with the potential to reach speeds of 50mb/s

Getty

Uber has halted testing of driverless vehicles after a woman was killed by one of their cars in Tempe, Arizona. March 19 2018

Getty

A humanoid robot gestures during a demo at a stall in the Indian Machine Tools Expo, IMTEX/Tooltech 2017 held in Bangalore

Getty

A humanoid robot gestures during a demo at a stall in the Indian Machine Tools Expo, IMTEX/Tooltech 2017 held in Bangalore

Getty

Engineers test a four-metre-tall humanoid manned robot dubbed Method-2 in a lab of the Hankook Mirae Technology in Gunpo, south of Seoul, South Korea

Jung Yeon-Je/AFP/Getty

Engineers test a four-metre-tall humanoid manned robot dubbed Method-2 in a lab of the Hankook Mirae Technology in Gunpo, south of Seoul, South Korea

Jung Yeon-Je/AFP/Getty

The giant human-like robot bears a striking resemblance to the military robots starring in the movie 'Avatar' and is claimed as a world first by its creators from a South Korean robotic company

Jung Yeon-Je/AFP/Getty

Engineers test a four-metre-tall humanoid manned robot dubbed Method-2 in a lab of the Hankook Mirae Technology in Gunpo, south of Seoul, South Korea

Jung Yeon-Je/AFP/Getty

Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi

Rex

Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session

Rex

A test line of a new energy suspension railway resembling the giant panda is seen in Chengdu, Sichuan Province, China

Reuters

A test line of a new energy suspension railway, resembling a giant panda, is seen in Chengdu, Sichuan Province, China

Reuters

A concept car by Trumpchi from GAC Group is shown at the International Automobile Exhibition in Guangzhou, China

Rex

A Mirai fuel cell vehicle by Toyota is displayed at the International Automobile Exhibition in Guangzhou, China

Reuters

A visitor tries a Nissan VR experience at the International Automobile Exhibition in Guangzhou, China

Reuters

A man looks at an exhibit entitled 'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London

Getty

A new Israeli Da-Vinci unmanned aerial vehicle manufactured by Elbit Systems is displayed during the 4th International conference on Home Land Security and Cyber in the Israeli coastal city of Tel Aviv

Getty

Google celebrates its 21st birthday on September 27. The The search engine was founded in September 1998 by two PhD students, Larry Page and Sergey Brin, in their dormitories at Californias Stanford University. Page and Brin chose the name google as it recalled the mathematic term 'googol', meaning 10 raised to the power of 100

Google

Russia has launched a humanoid robot into space on a rocket bound for the International Space Station (ISS). The robot Fedor will spend 10 days aboard the ISS practising skills such as using tools to fix issues onboard. Russia's deputy prime minister Dmitry Rogozin has previously shared videos of Fedor handling and shooting guns at a firing range with deadly accuracy.

Dmitry Rogozin/Twitter

Chief engineer of LIFT aircraft Balazs Kerulo demonstrates the company's "Hexa" personal drone craft in Lago Vista, Texas on June 3 2019

Reuters

Microsoft announced Project Scarlett, the successor to the Xbox One, at E3 2019. The company said that the new console will be 4 times as powerful as the Xbox One and is slated for a release date of Christmas 2020

Getty

Apple has announced the new iPod Touch, the first new iPod in four years. The device will have the option of adding more storage, up to 256GB

Apple

Samsung will cancel orders of its Galaxy Fold phone at the end of May if the phone is not then ready for sale. The $2000 folding phone has been found to break easily with review copies being recalled after backlash

PA

Apple has cancelled its AirPower wireless charging mat, which was slated as a way to charge numerous apple products at once

AFP/Getty

India has claimed status as part of a "super league" of nations after shooting down a live satellite in a test of new missile technology

EPA

5G wireless internet is expected to launch in 2019, with the potential to reach speeds of 50mb/s

Getty

Uber has halted testing of driverless vehicles after a woman was killed by one of their cars in Tempe, Arizona. March 19 2018

Getty

A humanoid robot gestures during a demo at a stall in the Indian Machine Tools Expo, IMTEX/Tooltech 2017 held in Bangalore

Getty

A humanoid robot gestures during a demo at a stall in the Indian Machine Tools Expo, IMTEX/Tooltech 2017 held in Bangalore

Getty

Engineers test a four-metre-tall humanoid manned robot dubbed Method-2 in a lab of the Hankook Mirae Technology in Gunpo, south of Seoul, South Korea

Jung Yeon-Je/AFP/Getty

Engineers test a four-metre-tall humanoid manned robot dubbed Method-2 in a lab of the Hankook Mirae Technology in Gunpo, south of Seoul, South Korea

Jung Yeon-Je/AFP/Getty

The giant human-like robot bears a striking resemblance to the military robots starring in the movie 'Avatar' and is claimed as a world first by its creators from a South Korean robotic company

Jung Yeon-Je/AFP/Getty

Engineers test a four-metre-tall humanoid manned robot dubbed Method-2 in a lab of the Hankook Mirae Technology in Gunpo, south of Seoul, South Korea

Jung Yeon-Je/AFP/Getty

Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi

Rex

Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session

Rex

A test line of a new energy suspension railway resembling the giant panda is seen in Chengdu, Sichuan Province, China

Reuters

A test line of a new energy suspension railway, resembling a giant panda, is seen in Chengdu, Sichuan Province, China

Reuters

A concept car by Trumpchi from GAC Group is shown at the International Automobile Exhibition in Guangzhou, China

Rex

A Mirai fuel cell vehicle by Toyota is displayed at the International Automobile Exhibition in Guangzhou, China

Reuters

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AI deemed 'too dangerous to release' makes it out into the world - The Independent

Artificial Intelligence (AI) is the most important ethical issue of our age. It already impacts on so much of our social interactions and work-life patterns. Its certain that it will continue to play an ever-increasing role in all our lives.

Last year, Facebook claimed it would be able to predict when we will die, along with other key life events, from marriages to deaths, based on social media activity. As Jews, we should query the benefits and pitfalls of social media platforms and other data harvesting behemoths soon having these capabilities.

Its encouraging that some leading international data scientists are now keen to engage with philosophers and faith leaders as they start to deal with the ethical issues raised by AI. They know that people involved in faith have had thousands of years of practice discussing issues such as AI, which are hard to define but have a great impact on humanity. Ethical subjects ranging from war to the meaning of humanity and consciousness can be tackled by both religious leaders and scientists in a mutually beneficial relationship.

For instance, London is the city with the second highest level of surveillance in the world, behind Beijing, meaning that every Londoner is caught on CCTV approximately 300 times a day. What would Jewish teachings say about the ethical way to use all the data collected?

The Talmud used the phrasepuk chazi, meaning go look at what is in the marketplace, to emphasise that listening to what people are thinking, feeling and saying is an important step in writing laws that reflect the nature of society.

Analysing peoples behaviours from social media creates a dilemma while its useful knowing how people react to new information and misinformation, the 280 characters of a tweet can never tell the full story, and may completely skew the truth. If we extrapolate only from social media, at best we lose information and nuance and, at worst, we cause damage that cannot be undone as the online data is available forever.

Further questions arise if someone posts a photo of themselves smoking when they have claimed to be a non-smoker on their health insurance, should the social media platform share that with the insurer? Would it be right for the persons premiums to increase as a result?

I recently attended Data Science Africa in Ghana to better understand these issues. Africa is a place where learning about the power of data is used for vital issues such as water supply, climate change, agriculture and life-threatening illnesses including malaria. Learning about the use of AI in Africa is increasingly pertinent, as demographic shifts mean a significant part of world population growth in the coming decades will come from Africa within 15 years, one in four will live on the continent. Mustafa, who runs the new Google AI Lab in Ghana explained this by telling me that as a 34-year-old, he is older than 70 per cent of Sub-Saharan Africa.

Learning from Africa is vital as many of the problems already being encountered in regions of Africa will become the whole worlds problems as the climate crisis worsens. The solutions to extreme heat and water scarcity being developed in Ghana can be replicated worldwide.

This might seem remote, but data is already hugely important to our ability to lead a Jewish life in safety in the UK. If a synagogues database were hacked by a far-right group, its members could be in severe danger. Our security is now dependent on our cyber security.

We cannot switch off from the issue. We need to learn to understand it, get involved in it and impact on it. Just as we see a role for ourselves as Jews in medicine, law and a vast array of disciplines so, too, should we seek an active role in data science. If it affects us day-to-day, we cant just delegate it to others.

Rabbi Janner-Klausner grew up in London; worked as an educator in Jerusalem for 15 years working with Jews and as dialogue facilitator trainer of Palestinians and Israelis. She is the Senior Rabbi to Reform Judaism in the UK.

Original post:

The ethical, social and Jewish implications of Artificial Intelligence - Jewish News

Sergey Tarasov - stock.adobe.com

Much of the focus on deep learning systems for vision has been in three areas: autonomous vehicles, facial recognition, and robotics. However, as with the many other areas of artificial intelligence (AI), vision will have a far wider impact on society than in those three areas. The logistics of relocation are heavily depending, no surprise, on what is being moved. Vision can be applied to that challenge in order to create more accurate estimates much faster than before.

Moving is stressful. As a one news article points out, about one in five Americans (23 percent) think that moving is more stressful than planning a wedding, according to new research. Twenty-seven percent think its more stressful than a job interview, and more than one in 10 (13 percent) even go as far as to say its more stressful than a week in jail. Given that census data shows more than ten percent of Americans sixteen and over move every year, thats a lot of stress. However, moving isnt only stressful for the people relocating.

As someone who has moved a lot, including overseas, I understand the challenges experienced arent just those of the customer. Think about the costs of providing an estimate for moving a residence as that is simpler than the large picture of corporate moves. Most moving companies are small and local, yet they need to find a person to go out to every household, to walk through, write down the property, then create an estimate that drives a contract. To make things more complex, moving is seasonal. For instance, Summer is a very busy times for many reasons, including families try to wait until children finish school years. A company will find it hard to staff experienced estimators for a short period.

The concept of using the nearly ubiquitous smart phones camera to help customers quickly take an inventory from which to create an estimate is attractive. Taking pictures, though, isnt sufficient if it means an estimator has to squint at an image and identify everything.

One company using AI to address the estimation challenge is Yembo. The company decided to tackle this problem using deep learning. It was clear that supervised learning, where the trainers know the answer and feedback information to the system to make it more accurate. One amusing example of early learning problems was teaching the system to differentiate between white doors and refrigerators. Another part of training had to do with objects near other objects. If, for instance, the system isnt sure about a chair, but its near a kitchen table, percentages for an initial classification can be increased.

Data, as with all software, matters. Yembo used a mixed dataset, both from open sources and custom imagery, to help identify many objects, including things partially obscured by others. That allows a customer to take an image of a bedroom and recognize a nightstand partially blocked by the bed. Another fun example was based on the fact that many people have TVs near fireplaces. Early training had the system then identify fireplaces as TVs. Negative training had to be performed to show the system that those werent televisions.

When the team began to trial, another great advantage of applying AI to consumer solutions rather than engineering solutions came up: a natural focus on the user experience (UX). If the customer is going to walk around a home with a smart phone, the application needs to be simple. A single button to press is easier than selecting menus. In addition, downloading an app can be an annoying extra step for a process that happens only once every few years. The designers made the system to run in a browser so theres nothing to install.

Yembos software lets our customers conduct a virtual inventory in just afew minutes, explained David Cox, executive vice president, JK Moving Services. This innovative AI tool is enablingquicker turn-around; a more intuitive, accurate estimation process; and an ability for our estimators to handle more business while still increasing customer satisfaction.

Another added benefit exists, as shown by the testing. Images are much more useful than a list to the physical movers, the driver and crew who have to show up to pack items and load a vehicle. Boxes, padding, and equipment can be more efficiently allocated to each crew, and the accuracy of time estimates is also improved alongside volume and weight estimates.

Vision AI has a number of widely ranging applications. A key focus of this column is to notice how AI is moving from very academic and technical sandboxes into the world of business. What Yembo is doing interests me as it is a clear example of looking at a real problem and addressing it by leveraging AI as a component of a robust system.

Continued here:

Vision Artificial Intelligence Can Help Minimize Angst, For Companies And Customers, In The Relocation/Moving Industry - Forbes

There is a certain morality in each one of us that drives us to better things, bigger things. We define greatness by reaching the technical and emotional facets of things. Integrity is so deeply rooted in the human mind that it makes it impossible to think of the world without it.

When we dwell on the topic of Artificial Intelligence, it has a whopping 3.5 billion dollar market growth which is expected to increase 20 times more in the next two years.

Read: AI And ML To Enhance The Efficiency Of The Credit Sector

For development this big, the implication of its growth on society must be questioned. The existence of AI has dissonant as well as favouring views. While some believe that AI could take over daily work so humans could focus on noble causes, others believe that they would become war machines. The latter is what pinpoints at the absence of ethics and emotions in AI.

Why ethics specifically for AI and not so much for data analytics and other subjects? Because unethical AI could have disastrous outcomes. War is a big example of this. Russias general has already announced that it has been working on AI guided missiles which can decide to switch targets mid-flight. To trust autonomy at a level of war and to at all train it for a war is a very big risk to take.

Artificial Intelligence is something created by humans and hence our relationship with it will be based on purpose. It is an effort at replicating complex human processes and making them more accurately. For example, calculations or equations could be done faster by an AI than a human. Lets not forget that human brain capacity is the basis upon which AI is created. So, it will always be at a point of comparison.

Since AI has already paved its way into our lives with intelligent devices, the possibility of AI dominating the market is not far. The purpose of these devices is to support and serve humans for their tasks and activities. How much is it influencing human activities? Enough to create human dependency on AI.

Smart furniture such as refrigerators, air conditioners, and TVs are guiding you to perform tasks that otherwise required your thought. The areas where you had to think before you did something are being looked after by AI.

You already have an assistant like Alexa, Siri, Google assistance, etc to note your reminders, set alarms, find and play the music you requested and well, even have a light-hearted conversation with.

Summing it up, the human-AI relationship is codependent and exists on purpose.

Very recently, an Australian tech daily covered the news that their government has come up with certain ethical guidelines for AI. Companies like Telstra, Microsoft, and Banks have already signed up for a trial. The ethics framework mainly focuses on AIs capability of understanding human-centered values, accountability and transparency.

Not just one country, but several countries have raised questions regarding the ethical aspect of AI and how it must have a positive impact on society.

What are they really expecting?

When we speak of ethics we are instinctively thinking of behaviour that is benefiting the society. While morals are a firm distinction between right and wrong, ethics are expected out of an individual. For example, an employees loyalty towards the organization he/ she works for is ethical. The honesty provided by a witness of an accident is ethical. The integrity of a person in taking into consideration the feelings of others is ethical.

Also Read: Responsible AI Design Using Human-Centred Design

For businesses to invest in AI, they would need to trust it. IBMs Watson is a great example of an ethical AI that targets businesses who want to use AI to help them work. Privacy, transparency, and accountability are very important for any business to indulge in technology.

Ethics is a very subjective concept but it depends on one thing- choice. An individuals choice of choosing to do the right thing even if there are other options benefiting them. As a society, we have an unconscious expectation from others in society to behave a certain way. At the end of the day, this is what keeps the social fiber of the community together and promotes a deeper sense of harmony.

Artificial intelligence comes closest to human society since it is a replication of the human mind. Intelligent devices become an integral part of our lives and hence need to adhere to the principles that hold the society together.

For tech giants like Microsoft and IBM, AI in their face recognition system developed a bias in its process of filtering people based on gender and skin type. Apart from IT industries, the use of AI in fields of creativity, therapy, sales, and marketing would also require it to have a certain amount of empathy. Every industry that is dealing with humans on a one to one basis will need an ethical AI.

Here are two cases of application of AI that becomes unethical:

In the coming years, AI is going to be changing the way we do things forever. When you put something of such high influence into the world, a critical examination of it is essential.

Also Read: Do We Trust Artificial Intelligence Agents To Mediate Conflict? Not Entirely

A utopian theme with AI would look like an automated car driving effortlessly through traffic and responding quickly in case of an accident. AI is used vastly in medical infrastructure and it should take decisions in the interest of patients. Smart devices in households should ensure that data is not breached and used otherwise. The credit and manufacturing sector also need to ensure ethical practices are followed with the use of AI.

The existence of AI so far has proved beneficial contrary to its disastrous portrayal in feature films. It has become inescapable from our lives and the way forward would be building its emotional quotient. Government organizations can work on developing a wholesome policy regulation of AI systems that could push forward the goals expected out of AI in the world.

What do you think the future of ethical AI would be? Let us know in the comment section below or tweet to us @ExpComputer

If you have an interesting article / experience / case study to share, please get in touch with us at [emailprotected]

Original post:

Artificial Intelligence And Ethics: The Need For EQ Along With IQ - Express Computer

JP Morgan, the worlds sixth-largest bank, has reportedly acquired an undisclosed stake in Limeglass, the developer of a set of tools that eliminate information overload in order to help people focus on the relevant paragraphs of their financial market research.

As one of JP Morgans in-residence startup graduates, Limeglass technology has been developed to automatically analyze the important information in research documents in real-time. The analysis tools take into consideration the context and structure of research papers.

The firms analysis tools use proprietary artificial intelligence (AI), natural language processing (NLP), and machine learning (ML) to smart-tag individual paragraphs in context. This allows financial institutions to personalize their research for internal and external users.

Rowland Park, co-founder and CEO at Limeglass, stated:

The volume of financial research, and the lack of innovation in how it is delivered, mean that market participants can spend hours searching through their email to find information on the trades they are considering. It is all too easy to miss vital information buried deep in large documents, wasting time and valuable research insights. Limeglass cuts through the noise, providing users with only the relevant paragraphs in their financial research with a simple search.

Limeglass graduated from JP Morgans in-residence program, which incubates various tech startups in order to help them create production-ready solutions that solve important wholesale banking problems. Other companies that took part in the in-residence program include Wematch, a trade matching service, post-trade firm AccessFintech, and data management platform Mosaic Smart Data.

Hussein Malik, head of transformation & implementation across sales & research at JPMorgan, noted:

The insights our Research teams produce daily are a huge source of value to our clients. We are continuously investing in technology to help deliver industry-leading content and to help us and our clients further mine that value.

Simon Gregory, co-founder and CTO at Limeglass, remarked:

Having worked in research for all my life, I was always surprised at how much research was being missed by users. We looked at the research consumption and distribution workflows from first principles and realised that the document centric approach was limiting access to the content. Using cutting edge technology to analyse the unstructured data in research documents, weve created a whole new way for market participants to engage with financial research.

See more here:

JP Morgan Invests Undisclosed Amount in Limeglass, an Artificial Intelligence and Machine Learning Research Analysis Firm - Crowdfund Insider

Barsys CoasterThe Barsys Coaster. (Photo: Barsys)

New York-based startup Barsys recently announced the Coaster, a smart saucer that guides the user on how to create a particular cocktail. By connecting the coaster to a smartphone with the complimentary app downloaded, users can choose from Barsys existing library of cocktails or input their own recipe. Once a cocktail is selected, the user can simply start pouring ingredients one by one, and with each new alcohol or mixer, the coaster will light up when the correct amount has been added to the glass.

The Barsys Coaster is regularly priced at US$149 (S$203), but interested customers can pre-order it here for US$95 (S$130). The device will start shipping in December.

If the Barsys Coaster requires a little too much manpower for you, you could instead opt for the brands Smart Automated Bartender. The device holds up to five bottles, three mixer canisters, and a mixer that can shake or stir drinks accordingly. All you have to do for a drink is connect your phone or tablet via Bluetooth to the Automated Bartender and select a cocktail the device will take it from there.

The Barsys 2.0 Automated Cocktail Maker retails for US$979 (S$1,333). More details here.

The Makr Shakr is for serious party hosts the setup is extensive. Basically, a whole bar will need to be built for the AI-powered robotic arms to be able to automatically make drinks; however, once up to 158 bottles of spirits are mounted on the ceiling of the structure and the ice machine is installed among other things, party goers can select their cocktail at the tap of a button on their smartphone.

The Makr Shakr will set owners back over US$100,000 (S$137,000).

The fully autonomous Yanu robot bartender falls between the Barsys 2.0 and the Makr Shakr. While the structure is also extensive, it is collapsible for transportation. This unit can hold up to 50 bottles of alcohol and mixers and, like the Makr Shaker, it mixes drinks with a robotic arm.

Though the retail price of the model is determined based on client needs, its expected to cost well over US$150,000 (S$205,000). Find out more here.

This article was published via AFP Relaxnews.

Excerpt from:

These artificial intelligence bartenders are the future of festive parties - Prestige Online

Medical technology concept. Medical instruments.

The healthcare industry has always been a leader in innovation. The constant mutating of diseases and viruses makes it difficult to stay ahead of the curve, but with the help of artificial intelligence and machine learning algorithms, it continues to advance, creating new treatments and helping people live longer and healthier lives.

A study published this week by The Lancet Digital Health compared the performance of deep learninga form of artificial intelligence (AI)in detecting diseases from medical imaging versus that of healthcare professionals, using a sample of studies carried out between 2012 and 2019.

The study found that, in the past few years, AI has become more accurate of identifying disease diagnosis in these images and has become a more viable source of diagnostic information. According to the researchers, out of 14 studies that compared deep learning models and healthcare professionals within the same sample, the diagnostic performances were found to be equivalent.

With advances in AI, deep learning may become even more efficient in identifying diagnosis in the next few years.

AI applications in the field of healthcare arent just limited to diagnosing a disease, they also include its possible treatment.

Pharmaceutical company Bayer has recently been working with tech companies to create software to help diagnose complex and rare conditions and help develop new drugs to treat these diseases. They have been working in partnership with hospitals and researchers to determine what the machine learning needs to analyze to learn how to diagnose a patients medical condition. The information that the AI is absorbing comes from a number of factors from symptom data, disease causes, test results, medical images, doctor reports and more.

We can model how it will behave in a cell in combination with other drugs the patients might be taking. Were looking at how we can identify the right patients and sites to run our clinical trials. We would be able to run shorter studies and show where the medication is the right one for those patients earlier, Angeli Moeller, who heads artificial intelligence projects at Bayer, explained to the Associated Press.

The machine learning systems are not to replace doctors or make absolute decisions in a patients treatment. According to Moeller, they still want the patient to have control over their treatments and want to use the artificial intelligence to support decisions and make recommendations based on the findings.

Bayer is not the only company making waves in healthcare with AI. There are many other startup companies that are tackling AI treatment options for disease. According to BenchScislatest report ,there are currently 148 startups using artificial intelligence in drug discovery.

One of those startups, Atomwise, just partnered with Jiangsu Hansoh Pharmaceutical Group in a $1.5 billion dollar joint-venture operation to collaborate on designing new drugs for cancer treatments.

The partnership combines Atomwises artificial intelligence technology with Hansoh Pharmas manufacturing capabilities in order to work together to design new ways to predict how a small molecule will bind to a target protein and hopefully lead to new advancements in medical treatments. These joint-ventures are promising as it combines two essential elements for advancements in both machine learning and medical device innovation.

A Canadian biotech company, Deep Genomics, has been experimenting with machine learning and drug development for the past 5 years. Specifically they have been testing different treatments for a rare genetic disorder named Wilson Disease that currently has no treatments on the market. The disease prevents the body from removing copper that eventually builds up in the organs and can cause life-threatening organ damage and sometimes failure.

Deep Genomics artificial intelligence system discovered that the mutation changes an amino acid in ATP7B, a copper-binding protein that is absent in Wilson patients, and causes a disruption in the genome that causes that protein not to be produced. They are currently testing their drug on their first candidate in the study and hopeful this will be successful in treating the disease.

As of today, there are not any drug treatments on the market that were created by AI, but many companies are working hard to see that happen soon. The collection of patient data and testing will continue to drive advancements forward, and while these are great strides in the advancements of artificial intelligence working with medical professionals to save lives, it is far from being mainstream.

Its probably going to take two years before it really hits mainstream medical practice. Getting the technology to the patient is still the hard part, Moeller to the AP.

More here:

Artificial Intelligence Is Being Used To Diagnose Disease And Design New Drugs - Forbes

In the UK alone, up to a third of jobs will be automated or likely to change as a result of the emergence of AI impacting 10.5 million workers.

These findings come from a new report Harnessing the Power of AI: The Demand for Future Skills from global recruiter Robert Walters and market analysis experts, Vacancy Soft.

Ollie Sexton, Principal at Robert Walters comments:

As businesses become ever more reliant on AI, there is an increasing amount of pressure on the processes of data capture and integration. As a result, we have seen an unprecedented number of roles being created with data skill-set at their core.

Our job force cannot afford to not get to grips with data and digitalisation. Since 2015 the volume of data created worldwide has more than doubled increasing (on average) by 28 percent year-on-year.

Now is the perfect time to start honing UK talent for the next generation of AI-influenced jobs. If you look at the statistics in this report we can see that demand is already rife, what we are at risk of is a shortage of talent and skills.

IT professionals dedicated to data management appear to be the fastest growing area within large or global entities, with volumes increasing ten-fold in three years an increase in vacancies of 160 percent since 2015.

More generally speaking, data roles across the board have increased by 80 percent since 2015 with key areas of growth including data scientists and engineers.

What has been the most interesting to see is the emergence of data scientist as a mainstream profession with job vacancies increasing by a staggering 110 percent year-on-year. The same trend can be seen with data engineers, averaging 86 percent year-on-year job growth.

Job vacancies for data scientists are increasing by a staggering 110 percent annually. Source: Campaign Creators/Unsplash

The rise of cybercrime has resulted in professional services particularly within banking and financial services hiring aggressively for information security professionals since 2016, however since then, volumes have held steady.

Within professional services, vacancies for data analysts (+19.5 percent), data manager (+64.2 percent), data scientist (+28.8 percent), and data engineer (+62 percent) have all increased year-on-year.

Tom Chambers, Manager Advanced Analytics and Engineering at Robert Walters comments:

The uptake of AI across multiple industries is bringing about rapid change, but with that opportunity.

Particularly, we are seeing retail, professional services and technology industries strive to develop digital products and services that are digitally engaging, secure and instantaneous for the customer leading to huge waves of recruitment of professionals who are skilled in implementing, monitoring and gaining the desired output from facial recognition, check-out free retail and computer vision, among other automation technologies.

Similarly, experimental AI is making huge breakthroughs in the healthcare industry, with the power to replace the need for human, expert diagnoses.

What we are seeing from those businesses that are prepared to invest heavily in AI and data analytics, is they are already outperforming their competitors and so demand for talent in this area shows no signs of wavering.

To download a copy of the report click here.

Can Artificial Intelligence make learning fun?

Artificial Intelligence, if used wisely, holds great potential for students, teachers

The rest is here:

Artificial Intelligence is driving the UK's NextGen jobs - Study International News

Each big step of progress in computing from mainframe to personal computer to internet to smartphone has opened opportunities for more people to invent on the digital frontier.

But there is growing concern that trend is being reversed at techs new leading edge, artificial intelligence.

Computer scientists say AI research is becoming increasingly expensive, requiring complex calculations done by giant data centers, leaving fewer people with easy access to the computing firepower necessary to develop the technology behind futuristic products like self-driving cars or digital assistants that can see, talk and reason.

The danger, they say, is that pioneering artificial intelligence research will be a field of haves and have-nots. And the haves will be mainly a few big tech companies like Google, Microsoft, Amazon and Facebook, which each spend billions a year building out their data centers.

In the have-not camp, they warn, will be university labs, which have traditionally been a wellspring of innovations that eventually power new products and services.

The huge computing resources these companies have pose a threat the universities cannot compete, said Craig Knoblock, executive director of the Information Sciences Institute, a research lab at the University of Southern California.

The research scientists warnings come amid rising concern about the power of the big tech companies. Most of the focus has been on the current generation of technology: search, online advertising, social media and e-commerce. But the scientists are worried about a barrier to exploring the technological future when that requires staggering amounts of computing.

The modern data centers of the big tech companies are sprawling and secretive. The buildings are the size of football fields, or larger, housing rack upon rack with hundreds of thousands of computers. The doors are bulletproof. The walls are fireproof. Outsiders are rarely allowed in.

These are the engine rooms of cloud computing. They help deliver a cornucopia of entertainment and information to smartphones and laptops, and they enable millions of developers to write cloud-based software applications.

But artificial intelligence researchers, outside the big tech companies, see a worrying trend in their field. A recent report from the Allen Institute for Artificial Intelligence observed that the volume of calculations needed to be a leader in AI tasks like language understanding, game playing and common-sense reasoning has soared an estimated 300,000 times in the past six years.

All that computing fuel is needed to turbocharge so-called deep-learning software models, whose performance improves with more calculations and more data. Deep learning has been the primary driver of AI breakthroughs in recent years.

When its successful, there is a huge benefit, said Oren Etzioni, chief executive of the Allen Institute, founded in 2014 by Paul Allen, the billionaire co-founder of Microsoft. But the cost of doing research is getting exponentially higher. As a society and an economy, we suffer if there are only a handful of places where you can be on the cutting edge.

The evolution of one artificial intelligence lab, OpenAI, shows the changing economics, as well as the promise of deep-learning AI technology.

Founded in 2015, with backing from Elon Musk, OpenAI began as a nonprofit research lab. Its ambition was to develop technology at the frontier of artificial intelligence and share the benefits with the wider world. It was a vision that suggested the computing tradition of an inspired programmer, working alone on a laptop, coming up with a big idea.

This spring, OpenAI used its technology to defeat the world champion team of human players at a complex video game called Dota 2. Its software learned the game by constant trial and error over months, the equivalent of more than 45,000 years of game play.

The OpenAI scientists have realized they are engaged in an endeavor more like particle physics or weather simulation, fields demanding huge computing resources. Winning at Dota 2, for example, required spending millions of dollars renting access to tens of thousands of computer chips inside the cloud computing data centers run by companies like Google and Microsoft.

This year, OpenAI morphed into a for-profit company to attract financing and, in July, announced that Microsoft was making a $1 billion investment. Most of the money, OpenAI said, would be spent on the computing power it needed to pursue its goals, which still include widely sharing the benefits of AI after paying off investors.

As part of OpenAIs agreement with Microsoft, the software giant will eventually become the labs sole source of computing.

If you dont have enough compute, you cant make a breakthrough, said Ilya Sutskever, chief scientist of OpenAI.

Academics are also raising concerns about the power consumed by advanced AI software. Training a large, deep-learning model can generate the same carbon footprint as the lifetime of five American cars, including gas, three computer scientists at the University of Massachusetts, Amherst, estimated in a recent research paper. (The big tech companies say they buy as much renewable energy as they can, reducing the environmental impact of their data centers.)

Etzioni and his co-authors at the Allen Institute say that perhaps both concerns about power use and the cost of computing could be at least partially addressed by changing how success in AI technology is measured.

The fields single-minded focus on accuracy, they say, skews research along too narrow a path.

Efficiency should also be considered. They suggest that researchers report the computational price tag for achieving a result in a project as well.

Since their Green AI paper was published in July, their message has resonated with many in the research community.

Henry Kautz, a professor of computer science at the University of Rochester, noted that accuracy is really only one dimension we care about in theory and in practice. Others, he said, include how much energy is used, how much data is required and how much skilled human effort is needed for AI technology to work.

A more multidimensional view, Kautz added, could help level the playing field between academic researchers and computer scientists at the big tech companies, if research projects relied less on raw computing firepower.

Big tech companies are pursuing greater efficiency in their data centers and their artificial intelligence software, which they say will make computing power more available to outside developers and academics.

John Platt, a distinguished scientist in Googles artificial intelligence division, points to its recent development of deep-learning models, EfficientNets, which are much smaller and faster than conventional ones. That democratizes use, he said. We want these models to be trainable and accessible by as many people as possible.

The big tech companies have given universities many millions over the years in grants and donations, but some computer scientists say they should do more to close the gap between the AI research haves and have-nots. Today, they say, the relationship that tech giants have to universities is largely as a buyer, hiring away professors, graduate students and even undergraduates.

The companies would be wise to also provide substantial support for academic research including much greater access to their wealth of computing so the competition for ideas and breakthroughs extends beyond corporate walls, said Ed Lazowska, a professor at the University of Washington.

A more supportive relationship, Lazowska argues, would be in their corporate self-interest. Otherwise, he said, Well see a significant dilution of the ability of the academic community to produce the next generation of computer scientists who will power these companies.

At the Allen Institute in Seattle, Etzioni said, the team will pursue techniques to improve the efficiency of artificial intelligence technology. This is a big push for us, he said.

But Etzioni emphasized that what he was calling green AI should be seen as an opportunity for additional ingenuity, not a restraint or a replacement for deep learning, which relies on vast computing power, and which he calls red AI.

Indeed, the Allen Institute has just reached an AI milestone by correctly answering more than 90% of the questions on a standard eighth-grade science test. That feat was achieved with the red AI tools of deep learning.

Read the original:

Fearing a future of artificial intelligence haves and have-nots - The Seattle Times

Zen koans (or riddles) are short questions which can be difficult or even impossible to answer. Things along the lines of 'What is the sound of one hand clapping?' or 'Can a submarine swim?'

These questions do not just confuse the recipient, but also force them to think in a different way; to move forward without a precise destination in mind.

This technique can seemingly be applied for creativity in business. Many business and marketing books are written on the importance of trying to reveal the underlying challenge a brand has to solve. It's critically important to know the problem you want to resolve before figuring out what the solution should be.

In the last ten years, there has been a surge in a lot of new business - think Uber and AirBNB for starters. They've become successful by finding a new solution to problems that have emerged within an existing category. So, can AI help us to think in differently? Could AI open our minds using Zen koans and make us think more creatively? As far as I can see, the answer is yes and no... So far, so Zen.

The gradual AI evolution

One of the early successes in AI was a programme called ELIZA, developed by Joseph Weizenbaum in 1966. He was determined to pass the Turing Test; to fool a human that they were talking to a human when in fact they were conversing with a machine. He realised that an easier way to do this - influenced by therapy - was to always ask open questions. So he programmed ELIZA to always respond this way:

Client: Men are all alike.

ELIZA: IN WHAT WAY?

Client: Theyre always bugging us about something or other.

ELIZA: CAN YOU THINK OF A SPECIFIC EXAMPLE?

Client: Well, my boyfriend made me come here.

ELIZA: YOUR BOYFRIEND MADE YOU COME HERE?

Client: He says Im depressed much of the time.

ELIZA: DO YOU THINK YOU ARE DEPRESSED MUCH OF THE TIME?

However, as great as ELIZA was, it didnt take long for Weizenbaum and others to realise the limitations that conversations with the machine offered. There was no real benefit to the questions; and on this front, things havent improved much since.

In this instance, the questions put forward by the AI and its algorithm were too formulaic and therefore deemed useless.

However, scientists then questioned whether AI and machine learning could respond to non-verbal enquiries and answer questions through action rather than by responding to a specific question.

Proof in the pudding

Think of Chess programmes, where Chess Grand Masters and Chess World Champions can be beaten by a machine. The AI system, AlphaGo, has even defeated internationally recognised players in Go - a Chinese game considered to be far more complex than Chess and less likely to be beaten by brute force.

So, how did AlphaGo do it? The software asked questions through the medium of Go. In move 37 of the second game of four against Go World Champion Lee Sedol, AlphaGo placed a black stone on the line five steps in from the edge of the board. Everyone was shocked.

It turns out that in Go, in the early stages of the game, you only play stones on the outer four lines. Playing on the fifth is considered suboptimal and was ridiculed by the commentators at the time. But, you can guess what happened, right? AlphaGos unorthodox move set-up a strategic play that left Sedol open in the latter stages of that same game. AlphaGo won and went on to win the series 4-1, setting a new standard for AI.

AlphaGo questioned the orthodoxy of the game. Up until that point, Go players and culture had found a local maxima - what they believed was the high point of Go based on a set of rules and principles leading to optimum performance.

But AlphaGo discovered that there was a higher level of performance that could be unlocked by what was traditionally considered a bad move. It exploited this and beat Sedol.

Since that moment, this move has changed the course of the game with players now routinely using the fifth line throughout its early stages. So put more succicntly, AI changed the world of Go.

"Humanity has played Go for thousands of years, and yet, as AI has shown us, we have not yet even scratched the surface," said Go champion, Ke Jie. "The union of human and computer players will usher in a new era."

The effect of AI on advertising

So, does AI have the power to ask probing and creative questions, verbal or non-verbal, that can change the state of play within a game, or more importantly for us, for a brand? Well, yes... But, no as well... Still Zen!

AlphaGo did ask an open question, but it was very much within the concrete frame of reference within the game of Go. This is far more rigid than most situations an organisation would find itself in.

So, to be able to compare AI's knowledge bank to the creative process, it has to be able to operate in environments where rules or parameters don't exist to be able to create something truly new.

Psychologist Margaret Boden suggests there are three types of creativity, that context plays an important part.

So, can AI help marketers into the transformational space?

Unfortunately, theres little evidence that they can. Most examples of creative AI focuses on exploratory creativity and doesnt break the rules. Even those on the inside of the AI revolution, like Judea Pearl, computer scientist and philosopher, best known for championing the probabilistic approach to artificial intelligence, thinks that our current techniques are limited.

"Current machine-learning systems operate almost exclusively in a statistical, or model-blind, mode, which is analogous in many ways to fitting functions to a cloud of data points," she said. "Such systems cannot reason about 'What if?' questions and, therefore, cannot serve as the basis for Strong AI."

Obviously, most powerful ideas are rejected at first; so even if we did have an AI capable of producing them, it's unlikely that the operator would understand the value of its output?

AI can ask questions and sometimes, those questions can be useful and surprising, but only if they're based within the constraints of a particular way of thinking. For now, the only place to get truly transformational creativity is from ourselves and our peers; we need to keep asking better questions and prioritise that ahead of creating better answers.

Like any Zen master - who typically answers every question with another question - before thinking of your next problem to solve at work, take a step back, look at your brand and try to come up with a better question first.

As Profsssor Luciano Floridi, puts it: "Data do not speak by themselves, we need smart questioners."

Nick Barthram, founder and strategy partner at Firehaus.

Read more:

Zen and the art of artificial intelligence - The Drum

Updated: May 25, 2018:

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There are different types of cookies and other technologies used our Website, notably:

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We may update this cookie policy and our Privacy Policy from time-to-time, particularly as technology changes. You can always check this page for the latest version. We may also notify you of changes to our privacy policy by email.

If you have any questions about how we use cookies and other tracking technologies, please contact us at: privacy@jdsupra.com.

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Patenting Considerations for Artificial Intelligence in Biotech and Synthetic Biology - JD Supra

SANTA CLARA, Calif., Oct. 1, 2019 /PRNewswire/ --Espressive, the pioneer in artificial intelligence (AI) for enterprise service management and a 2019 Gartner Cool Vendor, today released the findings of a new Pulse Report focused on the top HR service management strategies and initiatives for 2019. The report revealed that increasing the efficiency of HR service management and improving the employee self-help experience will be critical for achieving the top three HR initiatives of 2019: increasing employee retention; improving employee satisfaction; and improving the new-hire onboarding experience. The report, sponsored by Espressive in collaboration with Amazon Web Services (AWS), surveyed senior HR decision makers across a wide variety of industries. With 59 percent of respondents already considering or actively adding virtual employee assistants (i.e., chatbots), it is evident that HR leaders are prioritizing AI to improve the employee experience.

"This past January, Espressive sponsored a similar report on IT service management and found that 62 percent of IT leaders were considering or actively adding virtual support agents," said Pat Calhoun, CEO and founder of Espressive. "The new report, done just six months later, reveals that HR leaders have almost caught up with IT in their desire to leverage AI to improve the employee experience. The new report also revealed that 26 percent would need IT approval even if HR had funding, and another 24 percent said that funding would have to come from IT. With that in mind, organizations would benefit by implementing one solution that can be shared across the enterprise."

Employees are Challenged with Getting Help in the Workplace

Although many enterprises provide an intranet or self-service HR portal for answering questions, survey respondents indicated that only 45 percent of employees commonly search there. More frequently used methods for getting help include calling the help desk (72 percent) and emailing the help desk (64 percent). This is problematic when 34 percent say they have no formal tracking or assignment process and 27 percent use a shared inbox with multiple people potentially working on the same questions.

When asked for employees' biggest complaints about getting answers from HR, the top complaint at 57 percent was that it is too hard to find the right answer when searching the HR portal. Another 53 percent of employees report that they can't keep track of where to go for an answer. 48 percent say that when they reach HR by way of phone or email it takes too long to get a response.

Giving Employees a Personalized Onboarding Experience is a Top Challenge

The report also revealed that new-hire onboarding is top of mind for HR leaders. The top onboarding challenge cited, providing a personalized onboarding experience, ranked 18 percentage points higher than the next challenge. The next three reported onboarding challenges were all related to process: getting hiring managers to kick off the process on time; creating and enforcing a business process framework across departments; and getting new hires to complete onboarding tasks.

"All of the challenges revealed in the new Pulse Report can be solved with automation and AI," said Calhoun. "When employees have one place to go across the enterprise to not only receive answers from HR, but also from IT, Payroll, Workplace Resources, and more, their productivity goes up. And when the self-help experience is similar to what they have come to expect in their consumer lives, employee satisfaction and retention rise as well."

Additional Resources

Pulse Report Methodology

Gatepoint Research fielded this survey during August and September 2019. 44 percent of survey respondents were Fortune 1000 companies and 81 percent were director level and above. The complete Pulse Report on Strategies for HR Service Management is available for download.

About Espressive

Espressive, the pioneer in artificial intelligence (AI) for enterprise service management and a 2019 Gartner Cool Vendor, redefines how employees get help by delivering exceptional employee experiences. Barista, the company's virtual support agent (VSA), brings the ease of consumer virtual assistants, such as Amazon Alexa and Google Home, into the workplace. Barista automates resolution of employee questions, issues, and requests with personalized experiences that result in employee adoption of 80 to 85% and reduced help desk call volume of 40 to 60%. Espressive is backed by General Catalyst Partners and Wing Venture Capital, and is headquartered in Santa Clara, California. Visit http://www.espressive.com for more information.

Media ContactJocelynn StidhamBhava Communications for Espressive703-863-1277 espressive@bhavacom.com

SOURCE Espressive

https://www.espressive.com

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New Survey Reveals that HR Leaders Are Prioritizing Artificial Intelligence to Improve the Employee Experience - PRNewswire

The UK job market will drastically change in the coming years, with 133 million new jobs expected to be created globally, as industries adopt AI

The next generation of jobs in the UK will be determined by artificial intelligence.

As artificial intelligence continues to pervade a range of industries, the next generation of jobs is on the horizon.

In the UK alone, up to a third of jobs will be automated or likely to change as a result of the emergence of AI impacting 10.5 million workers, according to the latest report from global recruiter Robert Walters and market analysis experts Vacancy Soft.

As businesses become ever more reliant on AI, there is an increasing amount of pressure on the processes of data capture and integration. As a result, we have seen an unprecedented number of roles being created with data skill-set at their core, said Ollie Sexton, principal at Robert Walters.

Our job force cannot afford to not get to grips with data and digitalisation. Since 2015 the volume of data created worldwide has more than doubled increasing (on average) by 28% year-on-year.

Now is the perfect time to start honing UK talent for the next generation of AI-influenced jobs. If you look at the statistics in this report we can see that demand is already rife, what we are at risk of is a shortage of talent and skills.

The chorus of voices claiming that AI wont destroy jobs is getting louder. Read here

IT professionals dedicated to data management appeared to be the fastest growing area within large or global entities, with volumes increasing ten-fold in three years an increase in vacancies of 160% since 2015. And in general, data roles across businesses have increased by 80% since 2015 with key areas of growth including data scientists and engineers.

The emergence of the data scientist as a mainstream profession is perhaps the most interesting development, with job vacancies increasing by a staggering 110% year-on-year. The same trend can be seen with data engineers, averaging 86% year-on-year job growth.

Data scientists are in high demand, as companies look to take advantage of their data. But what exactly does the role entail? Read here

The rise of cybercrime has resulted in professional services particularly within banking and financial services hiring aggressively for information security professionals since 2016. Since then, however, volumes have held steady.

Within professional services, vacancies for data analysts (+19.5%), data managers (+64.2%), data scientists (+28.8) and data engineers (+62%) have all increased year-on-year.

1. Agriculture2. Business Support3. Customer Experience4. Energy5. Healthcare6. Intellectual Property7. IT Service Management8. Manufacturing9. Technical Support10. Retail11. Software Development

Tom Chambers, manager Advanced Analytics and Engineering at Robert Walters, explained that this uptake of AI across multiple industries is bringing about rapid change, but with that opportunity.

He said: Particularly, we are seeing retail, professional services and technology industries strive to develop digital products and services that are digitally engaging, secure and instantaneous for the customer leading to huge waves of recruitment of professionals who are skilled in implementing, monitoring and gaining the desired output from facial recognition, check-out free retail and computer vision, among other automation technologies.

Similarly, experimental AI is making huge breakthroughs in the healthcare industry, with the power to replace the need for human, expert diagnoses.

What we are seeing is from those businesses that are prepared to invest heavily in AI and data analytics, is they are already outperforming their competitors and so demand for talent in this area shows no signs of wavering.

Finding talent for those hard-to-fill AI jobs

AI will drive productivity not threaten workers jobs

CTOs must be clear that AI doesnt replace jobs, it makes them more strategic

The jobs artificial intelligence will take over first

UK tech sector leads Europe in AI but what about the rest of the world?

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Artificial Intelligence is driving the next generation of jobs in the UK - Information Age

At The Common Good in the Digital Age conference last weekend, Pope Francis warned that artificial intelligence (AI) could, if unchecked by ethics, become an enemy of the common good.

But is his assessment of AI as a potential new barbarism a fair one?

The Common Good in the Digital Age was a three-day conference held at the end of September in the Vatican, which saw academics and religious authorities discuss the social, ethical and political implications of recent technological developments.

As part of the conference, Pope Francis addressed diplomats, financiers and tech company executives, warning that the rush to develop artificial intelligence must also be accompanied with ethical evaluations of the common good to mitigate the risk of increasing social inequality.

In his speech, Pope Francis said:

If technological advancement became the cause of increasingly evident inequalities, it would not be true and real progress.

If mankinds so-called technological progress were to become an enemy of the common good, this would lead to an unfortunate regression to a form of barbarism dictated by the law of the strongest.

But is that a fair assessment? According to Tech Nation applied AI lead Harry Davies, to some extent, yes.

Pope Francis is right to raise concerns about the social implications of technology, particularly AI, he said.

Whenever we utilise any new technology, there is a spectrum of possible outcomes some good, some bad but the potentially vast impact of AI upon society coupled with an exponential rate of changemean that we must endeavour to treat developments in AI with real responsibility.

Artificial intelligence has a great deal of potential to work toward the common good Pope Francis mentioned, mitigating human error and making everyday operations safer across a number of sectors.

AI has applications in multiple financial infrastructures, ranging from mundane interactions to multinational industries. In March 2019 the Oil and Gas Authority (OGA) launched the UKs first National Data Repository, which uses AI to interpret over 130TB of reservoir and infrastructure data to support the UKs energy transition efforts.

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The medical sector could also benefit greatly from AI. Artificial intelligence algorithms have the potential to detect useful patterns based on millions of data points to help detect signs of disease early, and could assist in the development of new technologies and cures through analysing data faster than any human could.

The development of AI has raised concerns about job loss and redundancy, but recent data suggests that the rise of AI could create jobs. The demand for AI comes with a demand for data scientists and engineers, and vacancies for these jobs have increased considerably in recent years.

The Harnessing the Power of AI: The Demand for Future Skillsreport, produced by global recruitment agency Robert Walters and market analysis company Vacancy Soft, predicts that the uptake of artificial intelligence (AI) is expected to create 133 million new jobs globally and drastically change the UK job market.

Popular fear of AI and its algorithms reflects not only concerns about job loss, but also widespread anxiety that simply being human will lose value as our lives become patterned according to programs that tell us what we like and what to do, and over which we have no control, says Guido Joure, CDO of Swedish technology multinational ABB.

I see things in a far more positive light. I work with AI every day, sometimes in the lab but more often in factories, the high seas, remote mines, the ocean floor, aircraft aloft, city transit systems, wilderness power stations and ordinary offices.

Rather than a menace to humanity, I believe artificial intelligence represents a potential path to an upgrade that could be called HumAIn.

This view is echoed by Davies.

Though meant as a warning, not a proclamation of where we aretoday, it is premature to suggest that we are entering a new age of barbarism, he says.

For every opportunist, there are well-intentioned people building AI products that powerfully make the world a better place, be it diagnosing cancer earlier, combatting misinformation and fake news, or using AI to solve climate change. We must be careful not to throw the baby out with the bathwater.

Equally, the oft floated criticism of huge job losses and mass inequality is not a forgone conclusion, though to avoid this scenario will require thorough thinking, reasoned debate, and creative ways of rethinking our approach to education and the economy.

Despite the potential of AI to work for the common good, the technology still has its limitations as well as the ability to reinforce existing social inequalities without careful scrutiny and supervision.

Like so many of the great challenges of our time climate change, ageing, and others this feels an inherently political one. Supranational and global cooperation will be paramount to avoid the race to the bottom that Pope Francis highlights, where countries and corporations cut corners to stay ahead, says Davies.

This is not just theoretical. We already see the effects of malevolent technology where implemented in our society, be it the deep fakes he highlights, pernicious uses of facial technology, and we all know the story of Cambridge Analytica.

Artificial intelligence algorithms can cause problems through lacking human context. In June 2019 Ubers AI algorithm sparked outrage by increasing trip prices during the terror attack on London Bridge, and YouTubes content algorithms have been the subject of much debate for their propensity to recommend provocative and extremist content.

As well as problems caused by a lack of human insight, AI created by humans can in turn reflect human biases.

Artificial intelligence being deployed in sectors such as employment, the justice system or even medicine could internalise and reinforce prejudices from their human programmers, with these biased calculations being given additional weight through preconceptions of AI as more objective than their human counterparts.

Increasing the influence of AI on society could also make a number of financial and social infrastructures vulnerable to cyber-attacks, and putting machine-learning algorithms in charge of important administrative duties could pose a threat to the common good if the AIs learning process is exploited.

Ethics in Artificial Intelligence is a hot topic, but its not necessarily a new topic, since AI can trace its roots back to 1956, says Simon Driscoll, dataand intelligence practice lead at IT services provider NTT Data UK.

As the use of AI becomes more prevalent, and in order to ensure that it is accepted in society, its important that the decision-making process is open, moral and explainable if it is to be trusted and accepted by humans.

Artificial Intelligence is founded on data it can only learn from the data its given, and it can only keep on learning if the data it receives continues to be good.

If an AI-enabled machine makes a decision, there has to be a reason that can be rationalised by the person who created it and if any bias has seeped into this process, it is the human who is to blame, rather than the AI itself. Reliable and trustworthy data, validated by a human, is therefore a key requirement to ensure AI remains morally correct and useful in the future.

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Pope Francis on artificial intelligence: Does it really risk barbarism? - Verdict

HEALDSBURG, Calif., Oct. 1, 2019 /PRNewswire/ --TheGlobal Center of Nonprofit Excellence announced today the release of an innovative tool for nonprofits called OpX360. Combining nonprofit best practices and artificial intelligence, this online tool will measure and offer improvements to operational competency in less than 60 minutes.

OpX360 is like a $50,000+ consulting engagement without the cost or the weeks of discovery involved. Instead the program is comprised of six AI modules; one for each of the areas of operations of a nonprofit organization. Each OpX360 module has 60 Best Practice statements based on proven industry standards to help nonprofit organizations determine their current level of competence in any of the six operational areas of their organization.

The tool will also help nonprofits understand the consequences for non-performance and what they can immediately do to improve any areas that are underperforming.

"As former nonprofit executives, we understand that when it comes to knowing how well a nonprofit is performing, most nonprofit executives and their board members are simply too close to be objective and few know where to start," say OpX360 inventors Bob Lipps and Marc Stein. "Assessing competence against prescribed industry standards takes all the guesswork out."

"The premise is simple: Nonprofits need more funding. Funders need more confidence. More confidence comes from demonstrated operational competence. Funders with more confidence give nonprofits more funding. Operational competence can be measured and improved with OpX360," says Lipps.

CPA & Nonprofit Leader Jim McKee said, "We've paid consultants many thousands of dollars in recent years. For a fraction of the cost, OpX360 provided us with more focused feedback, recommendations, and actionable steps for improvement than our consultants ever have."

Within one hour of completing any of the six modules, the nonprofit will receive an Executive Briefing designed to be shared with their executives or board and a 70+ page Detailed Report addressing all 60 Best Practice statements for the person or team responsible for the specific area of operations.

Any of these assessments can be taken individually or together, depending on the needs of the organization.

The six areas of nonprofit operations are:

To receive a 20% discount throughout 2019, visit https://www.opx360.comand use code "LAUNCH" upon checkout.

About The Global Center of Nonprofit Excellence

The Global Center for Nonprofit Excellence (https:///www.theglobalcenter.net) is an orchestrated network helping nonprofits, funders and industry experts work better together for the greatest impact. OpX360 (https://www.opx360.com) was invented by co-founders Bob Lipps and Marc Stein and is a proprietary product of The Global Center of Nonprofit Excellence.

Contact:Marc SteinCo-Founder of The Global Center for Nonprofit Excellence, Co-Inventor of OpX360 805-469-8123223931@email4pr.com https:///www.theglobalcenter.net

SOURCE The Global Center for Nonprofit Excellence

https:///www.theglobalcenter.net

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New Artificial Intelligence Tool Will Show Nonprofits What's Working and What's Not - PRNewswire