Monthly Archives: August 2022

AI bias and AI safety teams are divided on artificial intelligence – Vox.com

Posted: August 15, 2022 at 6:17 pm

There are teams of researchers in academia and at major AI labs these days working on the problem of AI ethics, or the moral concerns raised by AI systems. These efforts tend to be especially focused on data privacy concerns and on what is known as AI bias AI systems that, using training data with bias often built in, produce racist or sexist results, such as refusing women credit card limits theyd grant a man with identical qualifications.

There are also teams of researchers in academia and at some (though fewer) AI labs that are working on the problem of AI alignment. This is the risk that, as our AI systems become more powerful, our oversight methods and training approaches will be more and more meaningless for the task of getting them to do what we actually want. Ultimately, well have handed humanitys future over to systems with goals and priorities we dont understand and can no longer influence.

Today, that often means that AI ethicists and those in AI alignment are working on similar problems. Improving the understanding of the internal workings of todays AI systems is one approach to solving AI alignment, and is crucial for understanding when and where models are being misleading or discriminatory.

And in some ways, AI alignment is just the problem of AI bias writ (terrifyingly) large: We are assigning more societal decision-making power to systems that we dont fully understand and cant always audit, and that lawmakers dont know nearly well enough to effectively regulate.

As impressive as modern artificial intelligence can seem, right now those AI systems are, in a sense, stupid. They tend to have very narrow scope and limited computing power. To the extent they can cause harm, they mostly do so either by replicating the harms in the data sets used to train them or through deliberate misuse by bad actors.

But AI wont stay stupid forever, because lots of people are working diligently to make it as smart as possible.

Part of what makes current AI systems limited in the dangers they pose is that they dont have a good model of the world. Yet teams are working to train models that do have a good understanding of the world. The other reason current systems are limited is that they arent integrated with the levers of power in our world but other teams are trying very hard to build AI-powered drones, bombs, factories, and precision manufacturing tools.

That dynamic where were pushing ahead to make AI systems smarter and smarter, without really understanding their goals or having a good way to audit or monitor them sets us up for disaster.

And not in the distant future, but as soon as a few decades from now. Thats why its crucial to have AI ethics research focused on managing the implications of modern AI, and AI alignment research focused on preparing for powerful future systems.

So do these two groups of experts charged with making AI safe actually get along?

Hahaha, no.

These are two camps, and theyre two camps that sometimes stridently dislike each other.

From the perspective of people working on AI ethics, experts focusing on alignment are ignoring real problems we already experience today in favor of obsessing over future problems that might never come to be. Often, the alignment camp doesnt even know what problems the ethics people are working on.

Some people who work on longterm/AGI-style policy tend to ignore, minimize, or just not consider the immediate problems of AI deployment/harms, Jack Clark, co-founder of the AI safety research lab Anthropic and former policy director at OpenAI, wrote this weekend.

From the perspective of many AI alignment people, however, lots of ethics work at top AI labs is basically just glorified public relations, chiefly designed so tech companies can say theyre concerned about ethics and avoid embarrassing PR snafus but doing nothing to change the big-picture trajectory of AI development. In surveys of AI ethics experts, most say they dont expect development practices at top companies to change to prioritize moral and societal concerns.

(To be clear, many AI alignment people also direct this complaint at others in the alignment camp. Lots of people are working on making AI systems more powerful and more dangerous, with various justifications for how this helps learn how to make them safer. From a more pessimistic perspective, nearly all AI ethics, AI safety, and AI alignment work is really just work on building more powerful AIs but with better PR.)

Many AI ethics researchers, for their part, say theyd love to do more but are stymied by corporate cultures that dont take them very seriously and dont treat their work as a key technical priority, as former Google AI ethics researcher Meredith Whittaker noted in a tweet:

The AI ethics/AI alignment battle doesnt have to exist. After all, climate researchers studying the present-day effects of warming dont tend to bitterly condemn climate researchers studying long-term effects, and researchers working on projecting the worst-case scenarios dont tend to claim that anyone working on heat waves today is wasting time.

You could easily imagine a world where the AI field was similar and much healthier for it.

Why isnt that the world were in?

My instinct is that the AI infighting is related to the very limited public understanding of whats happening with artificial intelligence. When public attention and resources feel scarce, people find wrongheaded projects threatening after all, those other projects are getting engagement that comes at the expense of their own.

Lots of people even lots of AI researchers do not take concerns about the safety impacts of their work very seriously.

Sometimes leaders dismiss long-term safety concerns out of a sincere conviction that AI will be very good for the world, so the moral thing to do is to speed full ahead on development.

Sometimes its out of the conviction that AI isnt going to be transformative at all, at least not in our lifetimes, and so theres no need for all this fuss.

Sometimes, though, its out of cynicism experts know how powerful AI is likely to be, and they dont want oversight or accountability because they think theyre superior to any institution that would hold them accountable.

The public is only dimly aware that experts have serious safety concerns about advanced AI systems, and most people have no idea which projects are priorities for long-term AI alignment success, which are concerns related to AI bias, and what exactly AI ethicists do all day, anyway. Internally, AI ethics people are often siloed and isolated at the organizations where they work, and have to battle just to get their colleagues to take their work seriously.

Its these big-picture gaps with AI as a field that, in my view, drive most of the divides between short-term and long-term AI safety researchers. In a healthy field, theres plenty of room for people to work on different problems.

But in a field struggling to define itself and fearing its not positioned to achieve anything at all? Not so much.

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Precision health perspectives – UCI News

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In February, UCI launched the Institute for Precision Health, a campus-wide, interdisciplinary endeavor that merges UCIs powerhouse health sciences, engineering, machine learning, artificial intelligence, clinical genomics and data science capabilities. The objective is to identify, create and deliver the most effective health and wellness strategy for each individual person and, in doing so, confront the linked challenges of health equity and the high cost of care.

IPH will bring a multifaceted, integrated approach to what many call the next great advancement in healthcare. The institute is an ecosystem for collaboration across disciplines.

Besides leading the applied artificial intelligence research group for IPH, Dr. Peter Chang is co-director of the Center for Artificial Intelligence in Diagnostic Medicine and assistant professor-in-residence in radiological sciences in the School of Medicine. Dr. Changs unique perspective arises from experience both as a radiologist physician and full-stack software engineer with over a decade of experience building FDA-cleared tools used in hospitals around the world.

Chang came to academia after launching a successful start-up company and has the distinction of being one of the few medical doctors in the country teaching in a computer science department. At IPH, his job is to use AI and machine learning to design practical solutions to real-world clinical problems for cost-effective, value-based care. Here, Dr. Chang speaks about the promise of AI and what he sees for the Institute for Precision Healths future.

For the uninitiated, how would you describe why machine learning and AI are important to healthcare right now?

You have to understand that the newest form of AI the deep-learning neural network family of algorithms has completely revolutionized the way machine-learning algorithms learn and think. Traditional forms of AI would require a human to carefully go through a list of patterns, rules and assumptions and manually build in or program that human experience into a computer. Modern forms of AI, however, allow computers to extract patterns and make inferences without a priori human assumptions. For example, if I wanted to teach the algorithm how to play the game of chess, I could simply explain the rules of chess and allow two AIs play against each other.

This paradigm shift is a completely new way to approach the design of learning algorithms. And, interestingly, this strategy has allowed modern AI systems to learn new or interesting information that may be previously unrecognized by even human experts. With video games, oftentimes we may think that the AI is intentionally losing, only to realize at the very end that the computer has come back and beat the human by a small but consistent margin every single time. For healthcare, the implication of course is that an AI may be allowed to discover patterns without the biases of flawed human assumptions or explicit programming thats really where the power lies.

And thats a core component of precision health healthcare informed by AI and machine learning. Typically, with advancements, though, there can also be downsides. Is there a downside to precision health?

I dont know if Id characterize it as the downside, but I will say that there is a lot of hype, which means that the expectations are oftentimes overinflated, and the inability to eventually meet those expectations and perhaps turn people away from the technology is something Im very aware of. Im obviously an advocate for this technology, but there are a lot of things we dont know. Its really in its infancy in terms of development and especially so in the field of medicine. The room for improvement is tremendous. So, we should acknowledge that. And we should acknowledge that the progress and potential, while its absolutely there, may be slow to realize.

UCI launched its Institute for Precision Health in February 2022. What most excites you about the Institute and what do you hope to achieve?

The IPH team is a strong collaborative team with diverse backgrounds. I think thats a key part to our unique approach to precision health and big data at UCI. At the same time, though the team is large, my role is very specific. In particular, my background is unique in that I both build modern AI algorithms on a daily basis and also practice as a board-certified radiologist. With this perspective, my hope is that Im able to bridge the gaps between technical and clinical experts to help accelerate translations in AI research for healthcare.

How unusual is it be a medical doctor and professor with the AI background?

Currently in 2022, this combination remains extraordinarily rare. As an illustrative example, Ive heard that Im the only physician teaching a technical deep learning class in a computer science department anywhere in the country. The course incorporates a hands-on curriculum building new AI algorithms each week with healthcare imaging data using the same libraries and tools developed by experts at Google, Facebook and Uber.

Before UCI, my real-life experience in AI started with research in the precision health AI field which eventually resulted in a startup company in the radiology deep-learning space. As part of the company, I work actively with our data science and engineering to innovate and translate the latest AI technologies into medical imaging diagnosis. In this capacity my experience with AI and machine learning comes from building state-of-the-art algorithms with industry-standard tools as well as regulatory clearance through the FDA, European CE-Mark and other international agencies. All of this experience is complementary to what you would normally expect of a medical doctor, I guess.

What led you to UCI?

When I was looking for full-time faculty positions, I wanted one that would allow me to continue pursuing hybrid clinical and AI work. Interestingly, that type of position really didnt exist three years ago. So, in large part what brought me to Irvine was as opportunity the UCI leadership saw for me in expanding AI and machine learning capacity across the healthcare community. More specifically, I was recruited here to build the AI center, an integral component of what is now the new Institute of Precision Health. While our team has grown tremendously, I was one of the first faculty in School of Medicine to dedicate my time and career to AI in healthcare. In this way, Ive been invested in the Institute for Precision Health from the very beginning.

The process of finding your dream job mustve been interesting.

If you had asked me four or five years ago where I most likely saw myself, I probably wouldve imagined myself working in industry. But, to put it simply, my single priority throughout has always been having access to resources that allow me to purse impactful work in healthcare AI. If that meant working at Google, I wouldve ended up at Google. But the reality is that here at UCI I was given a unique set of tools and resources that even the tech giants in industry could not match. As example, even Google with all the Google resources and talent in engineering and other data science does not have access to a hospital. By contrast, here at UCI I can take a tool built in the lab and turn it on the next day in a realistic clinical environment to see if it actually helps doctors do their day-to-day work. Theres the ability to connect with basic science researchers through clinicians who are world experts in treating some very specific diseases. And on top of all that, here at UCI I continue practicing medicine as a radiologist in the hospital one day a week.

When youre not practicing medicine or teaching, what does your job look like?

By design, I try to immerse myself in the technical details of new AI technology as much as possible. Working with students in the lab and writing software code is the highlight of day. Most of the time, youll find me with my engineering and data science team, both building algorithms and figuring out how best to plug those algorithms into clinical practice. You could say that my team are the boots on the ground to bring applications to real-life practice. And, of course, I spend a significant amount of my day with clinicians to discuss potential AI solutions for their daily problems. Almost invariably a conversation will start with, Peter, I have a problem if you could solve this problem, it would make my life a hundred times better.

How many are on your team?

We have about seven or eight full-time staff now at the Center for Artificial Intelligence, in addition to a large number of grant-sponsored students, trainees and postdocs. Additionally, I try to take on as many student volunteers as possible trainees who are looking just to get exposed to the field. Even without formal funding, there is a large community of individuals who just want to learn. Because of this, I think that the center has become a popular place around UCI.

What do you hope to tackle first now that IPH has launched?

Prior to the launch of IPH, a smaller group at UCI had been focused on precision health and omics. In parallel, my team was focused on AI and machine learning applied to precision health problems. In that regard, combining our expert backgrounds, we have some early projects looking at AI predictive analytics across multiple diagnostic modalities including electronic health record (EHR), radiology and omics data. including DNA, RNA, proteomics. This cross-disciplinary work truly embodies IPH and would quite frankly be impossible unless you had experts like those on our team to help guide you along the way. A few key priority areas of research specifically include ALS, dementia, gastric cancer and COVID.

Any last words about the future of precision health?

AI and precision health are exciting new areas of research, but for now Id urge everyone to stay grounded and be patient. There are a lot of unknowns and a lot to explore and understand, so a balanced perspective is needed to truly make strides translating these technologies in ways that ultimately will help researchers, clinicians and patients.

If you want to learn more about supporting this or other activities at UCI, please visit the Brilliant Future website athttps://brilliantfuture.uci.edu. Publicly launched on October 4, 2019, the Brilliant Future campaign aims to raise awareness and support for UCI. By engaging 75,000 alumni and garnering $2 billion in philanthropic investment, UCI seeks to reach new heights of excellence instudent success,health and wellness, research and more. UCI Health Affairs plays a vital role in the success of the campaign. Learn more by visitinghttps://brilliantfuture.uci.edu/uci-health-affairs/.

About UCI Institute for Precision Health: Founded in February 2022, the Institute for Precision Health (IPH) is a multifaceted, integrated ecosystem for collaboration that maximizes the collective knowledge of patient data sets and the power of computer algorithms, predictive modeling and AI. IPH marries UCIs powerhouse health sciences, engineering, machine learning, artificial intelligence, clinical genomics and data science capabilities to deliver the most effective health and wellness strategy for each individual person and, in doing so, confronts the linked challenges of health equity and the high cost of care. IPH is part of UCI Health Affairs, and is co-directed by Tom Andriola, vice chancellor for information, technology and data, and Leslie Thompson, Donald Bren Professor of psychiatry & human behavior and neurobiology & behavior. IPH is a comprised of seven areas: SMART(statistics, machine learning-artificial intelligence), A2IR(applied artificial intelligence research), A3(applied analytics and artificial intelligence), Precision Omics(fosters translation of genomic, proteomic, and metabolomic research findings into clinical applications), Collaboratory for Health & Wellness(providestheecosystem that fosters collaboration across disciplines through the integration of health-related data sources), Deployable Equity(engagescommunity stakeholders and health-equitygroupsto create solutionsthat narrow the disparities gap in the health and wellbeing of underserved and at-risk populations.) and Education and Training (brings data-centric education to students and healthcare practitioners so they can practice at the top of their licenses).

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The role of artificial intelligence in improving business operations – Backend News

Posted: at 6:17 pm

Artificial Intelligence was an emerging technology a few years back, but now it has become an integral part of many industries, including the business world. With the adoption of Artificial Intelligence in the business world, the operation cost reduces, efficiency increases, and it further improves the customer experience. The end result is visible in the form of growth in the businesss revenue.

It plays a key role in automating monotonous tasks that save manual labour and save both time and money for the business. There is a direct connection between improved business productivity and operational efficiency. When implemented correctly, one can reap many benefits from Artificial Intelligence. Let us look at ways in which Artificial Intelligence can primarily improve business operations.

Customer Relationship Management

Irrespective of their business niche, a business, including logistic businesses like Ninja Van, often have to deal with customer relationship management; it is obvious because, of course, the business will be selling the products and services to a customer. The market is flooded with plenty of CRM tools. However, the fact is that even CRM platforms require heavy human intervention.

By integrating Artificial Intelligence into the CRM platform, it is now possible to create an auto-correcting and self-updating system. It helps your business to stay at the top of customer relationship management.

Intelligent Services

In a service-based business, Artificial Intelligence can be used to deliver intelligent service. It is especially true for the servitisation business model. This business model takes into account the customer data through Artificial Intelligence and helps the business craft the services and products that prove valuable to the customer.

A clear example of the usage of Artificial Intelligence in providing intelligent service can be seen on the Netflix recommendation engine. Based on what customers have watched or enjoyed, Netflix recommends similar movies and television shows for the customers that it knows the customer will enjoy.

In short, Artificial Intelligence in the service-based industry can keep both the company and the customer happy.

Improved Customer Experience

From the facts discussed above, it is crystal clear that Artificial Intelligence can play a pivotal role in improving the customer experience by delivering a highly personalised customer experience. For instance, Shopee Xpress ensures a good customer experience by allowing its customer to stay up to date regarding their shipment by allowing them to track it.

Artificial Intelligence can consider the customers various touch points and analyse what is driving the customer behaviour. With this important data and insight, the business can clearly see what else can be done to improve the customer experience.

In addition, Artificial Intelligence can further monitor customer sentiment and predict brand perception. It eliminates the guesswork required to create a positive brand image. It considers different parameters to forecast and is extremely helpful in creating a positive brand image.

Helps In Accounting

All businesses need to deal with accounting work. When accounting is done manually, there are chances of getting errors. This manual error can be eliminated with Artificial Intelligence. It can be used for performing repetitive actions like categorising different transactions and even recording the data. It can also create automatic invoices for different transactions.

Businesses can also employ Artificial Intelligence for even complex tasks like managing payroll. Automated payroll runs on cause and effect and may not always create the desired result. On the other hand, Artificial Intelligence is smart enough to analyse the data, learn from mistakes and devise strategic solutions. This helps in the efficient management of payroll.

Operational Data Analysis

Data plays a key role in any business. However, raw data is seldom of any use. A proper analysis of the raw data is necessary to create relevant insights. This insight, in turn, is valuable to improve the operation efficiency of the business.

Artificial Intelligence can also work toward data synthesis and help the human decision-maker make the right decision for the business. Other benefits of using Artificial Intelligence in operational data analysis include better inventory schemes and making the business resilient.

Artificial Intelligence has repeatedly proved that it can optimise internal business operations. However, its benefits go well beyond this. It can enhance the existing features of products and services, make better decisions, work on new marketing strategies, and further help the business pursue new markets.

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How some shoppers are using artificial intelligence to halve the cost of their groceries – Stuff

Posted: at 6:17 pm

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Christchurch resident Kate Singleton says the way she shops has changed.

Christchurch resident Kate Singleton has been using artificial intelligence technology to change the way she shops, without even realising it.

She has started using Christchurch business MenuAid, an online recipe subscription service that sends customers meal ideas, and a shopping list of ingredients, for $4 a week.

Singleton said the app had completely changed the way her family cooked but she had no idea it was powered by artificial intelligence (AI).

It also helps avoid food wastage and cuts down on the cost of my weekly shop, Singleton said.

READ MORE:* Meal-planning tech entrepreneurs aiming to displace expensive meal kit services* NZ start-up uses smart tech to take on meal kit giants and dinner fatigue with MenuAid* Christchurch start-up wants to become the Edmonds Cookbook for the digital generation

Singleton said a major problem with many of the meal delivery services was that the spices and ingredients used for one meal could then sit untouched at the back of the pantry.

MenuAid uses its AI to track what ingredients a customer should have in their pantry and suggests meals that make the most of what is on offer.

Melody Tia-Peni used to spend more than $400 on a weekly shop for her household of two teenagers and two grandchildren.

But MenuAid had brought that down to between $200 and $250 a week. Much of the savings came from avoiding food wastage, she said.

Every individual, and every familys palate, is different. So we had to create a recommendation engine that can very quickly adapt to a range of tastes. To do that we have built an AI which is getting smarter and smarter, MenuAid founder Toby Skilton said.

ALDEN WILLIAMS/Stuff

MenuAid co-founders Elise Hilliam and Toby Skilton have created a meal subscription service powered by artificial intelligence technology.

When users sign up to MenuAid, the system records a range of food preferences to kick-start the recommendation engine.

As users cook and review recipes, the system collects data to create more accurate recommendations.

It records things like whether the person prefers quick and easy meals over longer cook times, whether they prefer pork or chicken. We also have a personal clicking history of the meals they were most interested in. We put this data together and create an in-depth profile of a users preferences.

The data is not only used to recommend recipes but also to help with the act of shopping.

When a user has finalised their recipes for the week, they get a shopping list which they can order online through Countdown delivery or shop for themselves.

The MenuAid system also collects information about the way a user shops, whether they prefer health food products, or cheaper brands, or a particular produce or protein, and can then recommend recipes based on this information.

The system does a first pass of the recommendations but the user can always change things. The cool thing is if a user does change, then the system remembers that and takes the preference on board for next time.

It is like having an AI personal shopping assistant, Skilton said.

The cost of living at the moment is insane, everyone has been feeling it. It has been really amazing to hear the stories from our customers and to know we are making a difference in their lives, he said.

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What is Black Lives Matter and how did it start? – The US Sun

Posted: at 6:15 pm

OVER the past few years, the powerful Black Lives Matter movement has sprung up to protest police brutality against black people.

Thousands of Black Lives Matter protesters are set to take to the streets this week in response to the shocking death of George Floyd, who died in police custody in Minneapolis, Minnesota in May 2020.

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The civil rights group came about in response to extreme police brutality which culminated in the shooting dead of three African-American men in 2013.

Organisers say the movement's mission is to "eradicate white supremacy and build local power to intervene in violence inflicted on Black communities".

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Black Lives Matter regularly campaigns against institutional racism and violence towards black people, and speaks out against police brutality and racial inequality.

More than 1000 people were killed by police in the US in 2015, nearly a third of them black.

This is despite the fact that black people represent just 13 per cent of the population.

Against this background there was the fatal shootings of Philando Castile in Minnesota and Alton Sterling in Louisiana.

This sparked the Twitter slogan #blacklivesmatter.

Black Lives Matter was started seven years years ago in response to the acquittal of George Zimmerman for the shooting death of Trayvon Martin.

It began with a simple hashtag - #BlackLivesMatter - before people began taking to the streets to protest against inequality and violence.

The phrase had first been used in a Facebook post by Alicia Garza called 'A Love Letter to Black People' following Zimmerman's acquittal in 2013, before it was shared with the hashtag and a movement was borne online.

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The movement was founded by three community organisers and civil rights activists - Alica Garza, Patrisse Cullors and Opal Tometi.

The three women had first met through an organisation which trains community organisers.

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The Facebook post by Garza was picked up by Cullors, who shared the blog post online with the BLM hashtag, and supported by Tometi.

There are a number of different pages where people can donate and support Black Lives Matter.

AGoFundMe page for Floyd has already raised millions of dollars, while there is also the Minnesota Freedom Fund.

TheBail Project helps people post bail who cannot afford it, and all Black Lives Matter petitions can be found on the movement's website.

A Change.org petition isdemanding justice for Floyd.

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Black Lives Matter Calls Conservative Cry of ‘Defund the FBI’ Hypocritical – Newsweek

Posted: at 6:15 pm

In the days since the FBI raided former President Donald Trump's Mar-a-Lago estate, many Trump supporters have pushed for the federal agency to be defunded. Black Lives Matter (BLM) has responded by insinuating such messaging is hypocritical given conservative backlash against calls made by progressive groups to defund the police.

One such instance came soon after Republican Representative Matt Gaetz of Florida threatened to give "not one more damn penny" to the FBI and other such agencies. BLM responded in a tweet to Gaetz that "you are corny AF. But we'll work with you to defund and dismantle the FBI. Welcome to #DefundThePolice."

For many people, BLM has become linked to the "defund the police" efforts. This happened after the groupwhich began as a grassroots, social justice movement but has also expanded into the Black Lives Matter Global Network Foundationled protests around the world against police brutality. These protests grew in size and frequency in the wake of George Floyd's death in 2020, which is also when "defund the police" became a movement of its own.

On Thursday evening, BLM noted how Republican Representative Marjorie Taylor Greene of Florida had also criticized the FBI. BLM tweeted out an illustration of a Black arm (labeled "abolitionists") joining hands with a white arm (with the phrase "Marjorie Taylor Greene's unhinged Twitter account" on it). "Defund the FBI" was written at the top.

"Y'all know that this is satire and we are WILDLY uninterested in partnering with her, right?" BLM wrote in a followup message. "We just thought it was funny how quickly they went from 'back the blue' to #DefundThePolice ..."

The BLM Twitter account also shared a tweet from conservative columnist Todd Starnes that read, "The FBI had been weaponized. Defund and Dismantle."

"Love this for us. Join us in our mission to divest federal resources from agencies like the FBI," the progressive group wrote in its caption above Starnes' message.

Similarly, after right-wing podcast host Liz Wheeler tweeted "Abolish the FBI," BLM shared her post with the comment: "Liz is an abolitionist girlie now."

BLM also retweeted various messages concerning the FBI's raid of Trump's estate, making it clear the group is by no means an ally of the former president.

Not everyone saw the same correlation between calls to defund the FBI and the movement to do the same with police departments. Investigative journalist Alex Rubinstein was among those who made the differentiation.

"Amazing to see so many braindead blue checks tweeting gotchas at Republicans for calling to defund the FBI, drawing false equivalencies between a federal domestic intelligence & law enforcement agency & local police departments," Rubinstein tweeted. "Yes, Republicans are hypocrites but this is dumb."

Newsweek has reached out to BLM for comment.

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What happened to all the anti-racists after Black Lives Matter? – Metro.co.uk

Posted: at 6:15 pm

If you called yourself an anti-racist two years ago, show up, speak out, and keep pushing for change, now and in the future (Picture:Getty)

Living through a pandemic has done something strange to our perception of time. The summer of 2020 feels like it just happened, and it also feels like a lifetime ago.

It was a time of seismic change, as people took to the streets in their thousands to demand justice for the murder of George Floyd, and to protest against racial injustice in all its forms.

We may have been galvanised by the pressure cooker of nationwide lockdowns, but it was collective action on a scale that many of us have never seen in our lifetimes, and it felt transformational.

Racism was headline news for months, with every kind of institution as well as public and private companies facing unprecedented scrutiny over equality being forced to apologise for past racist behaviour, and pledging to make positive changes going forward.

Social media was awash with reading lists, graphics with information on how to do your part, and long, emotional captions about the importance of allyship.

Despite my skepticism about the flimsiness of social media activism and disdain for performative solidarity (shout out to the black squares on Instagram), I was hopeful. It really did feel as though this was a movement, not a moment as Keir Starmer was lambasted for saying and it was the focus on active anti-racism that made it feel genuinely sustainable.

For the first time, white people werent being allowed to simply hide behind a defence of not being racist more was being asked of them.

To be anti-racist is to oppose racism and promote racial tolerance, and that requires action.

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From speaking up when you encounter racism in public, to setting up initiatives to empower ethnic minority members of your workplace, or interacting with news, literature and campaigns that oppose racist ideologies, it was heartening to see colleagues, my wider friendship groups, and even high school friends on Facebook, engaging with this kind of behaviour.

But two years on, I can feel us hurtling backwards. Progress that was seemingly being made in the immediate aftermath of the BLM protests is now being undone, and I fear we will end up in an even worse position than where we started.

As the new season of the Premier League kicked off last week, it was announced that players would no longer take the knee in solidarity with Black Lives Matter before every game.

In July, the UKs first journalism prize for Black reporters, which was only launched in summer 2020, was scrapped in a push to improve overall diversity.

After sales of Black-authored titles soared up the charts in 2020, Black writers are still vastly underrepresented in publishing and there has been a23% drop in Black charactersin childrens bestsellers since 2020.

Admittedly, awards, book sales and anti-racist gestures like taking the knee, arent necessarily the most impactful elements of the movement, but there have been more significant examples of backwards steps too.

This week, new figures revealed that Black boys have been disproportionately targeted for strip searches by the Met Police. The Tory party leadership race has been riddled with dog-whistle language, including Rishi Sunak vowing to end woke nonsense, and both Sunak and Liz Truss ploughing ahead with plans to deport immigrants to Rwanda. The Forde Report revealed a hierarchy of racism, and discrimination against Black members of the Labour Party.

Its scary to think that in just two years after all the statue toppling, diversity initiatives, and fervent sharing of reading lists this is where we are now. Where are all the allies who pledged to push for change? Where are all the people who read the books, listened to the podcasts, and vowed to do the work? Where are all the anti-racistsprotesting these backpedals?

It could be argued that as other global crises unfold the rippling aftershocks of the pandemic, the cost of living, the growing impact of extreme weather now is not the time to focus on racial inequality. But now is exactly the time.

These crises are not single issues that exist in a vacuum, they intersect and overlap, and as each issue tightens its grip on society, it will be racially minoritised people who feel the compounded effects.

We need to acknowledge how the cost of living crisis and the climate emergency will disproportionately impact Black and brown people in this country, and we need people in power to take action to mitigate the looming catastrophesby recognising that we will not all be impacted equally, and providing funding and tangible support for the communities that will need it the most.

It simply isnt valid to suggest that we no longer need to push for racial equality, we need anti-racism more now than ever before.

As a Black mixed woman, it was painful to watch white people wake up to the realities of racism in 2020. But it is even more painful to watch them lose interest, to watch the plight of racial injustice fall off the agenda altogether.

We cant let the summer of 2020 be a moment, a fleeting trend that disappears into the archives when it is no longer headline-worthy. Now is not the time to revert to passive non-racism.

You dont get to pick up the anti-racist backpack and simply take it off because the load got too heavy.

If you called yourself an anti-racist two years ago, show up, speak out, and keep pushing for change, now and in the future. Being anti-racist has to be a lifelong philosophy, not just a hashtag.

Do you have a story youd like to share? Get in touch by emailing jess.austin@metro.co.uk.

Share your views in the comments below.

MORE : Even if your family dont live there anymore, its worth visiting the country of your heritage

MORE : Immigrants like Sir Mo Farah shouldnt need to be exceptional to be accepted

MORE : Black and brown people will suffer most from the climate crisis

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Did Provo police show bias in their response to a shooting at a Black Lives Matter protest? – Deseret News

Posted: at 6:15 pm

Defense attorney Shane Johnson said Provo police took only 26 minutes to look at evidence inside a car driven by Ken Dudley, a man who was shot during a Black Lives Matter protest on June 19, 2020, before giving the keys back.

Johnson, an attorney who represents the Salt Lake man accused of taking the shot, Jesse Taggart, said there is a chance that evidence in Dudleys Ford Excursion could have shown his client was justified in using deadly force during the Provo protest. Now, he said, they don't have that evidence to be able to show it to a jury.

"The investigators went in with a particular mindset. They were not going to entertain any evidence that would contravene that idea. But I think the evidence is actually more clear that it was an inherent bias on the part of the officers to essentially pick a winner between Mr. Dudley and Mr. Taggart," Johnson said Tuesday during a hearing on a motion to dismiss the charges against Taggart.

Taggart, 35, is charged with attempted aggravated murder, a first-degree felony, aggravated assault and discharge of a firearm with injury, second-degree felonies; and riot, a third-degree felony. Taggart pleaded not guilty to those charges and filed a motion in December to dismiss the case against him.

Fourth District Judge James Brady did not issue a decision Tuesday, but said he expects to make a ruling within the next two weeks after taking time to consider the arguments.

Johnson claimed that Dudley could have been charged with multiple crimes, according to an officer's testimony at a preliminary hearing in Taggart's case, but police or prosecutors chose not to file any charges against him.

Jesse Taggart, who is charged with shooting a man during a Black Lives Matter protest in Provo in 2020, is trying to get the charges against him dismissed.

Utah County Sheriffs Office

Taggart and others who were at the protest or viewed video of the incident have argued that he was attempting to use his car to force protesters to move by driving through them. Other reports say he simply was trying to get past the crowd and then hit the gas pedal to try to leave after being shot.

Johnson said he thinks there is "undeniable prejudice" in the case and says police acted more than negligently in not processing the crime scene inside Dudley's SUV thoroughly.

He listed multiple things that police said in previous court hearings that could be interpreted as bias, including one officer who said they had nightmares about Black Lives Matter protests coming to Provo, another officer who said Black Lives Matter protesters came to the community with "ill intent," and another who said Dudley was "shot and victimized."

Deputy Utah County attorney David Sturgill said he thinks Johnson is mischaracterizing the evidence and argued that there is no evidence that the items Johnson says he would like to investigate further would have helped Taggart's case.

"Whether it's exculpatory or even helpful or relevant is entirely based on speculation," the prosecutor said.

In his response to the motion to dismiss the case, Sturgill said Dudley was turning right onto Center Street in Provo when someone shot into his car, hitting his elbow and a second bullet hitting his steering wheel. Dudley then drove to the hospital where he was questioned by police.

Sturgill said the car was photographed thoroughly at that point. He argued that the motion to dismiss should not be granted and that the items sought by Taggart would not add significant evidentiary value to the case.

He also claimed that it is wrong for Johnson to say police were acting with bias and said officers could not have anticipated at the time each of the defenses that Taggart would bring to court, and should not be expected to.

"The issue, I believe, that has been raised by the defendant is without merit. It fails at the very beginning," he said.

The specific items Johnson said he thinks should have been documented by police more closely include:

Johnson argued that the police not collecting complete evidence should be grounds for Taggart's case to be dismissed and asked for the charges against his client to be dropped.

A man drives an SUV through a Black Lives Matter protest in Provo on June 19, 2020. The attorney for Jesse Taggart, who is charged with shooting a man in this vehicle, claimed Tuesday that the charges should be dismissed because police did not take sufficient evidence from the vehicle at the time.

"It was not for lack of resources that we did not collect and process this evidence forensically, it was lack of want," Johnson argued.

He said police not only had the vehicle in their possession, they had permission from Dudley to analyze the vehicle, but they returned the phone and the keys quickly.

Without evidence to show that Dudley brandished a gun or was not completely honest about where he was driving, Johnson said the only way to get that evidence before a jury would be to have his client testify on the stand making it almost necessary for Taggart to testify in his own trial and creating a "battle of believability." However, he said if the evidence were processed correctly they could simply rely on the evidence.

"Those investigators spent 26 minutes processing the crime scene that will play a heavy part in determining whether or not Mr. Taggart goes to prison for the rest of his life," Johnson said.

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Football Coach’s Display of "All Lives Matter" Poster May Have Been Protected by First Amendment – Reason

Posted: at 6:15 pm

Plaintiff's poster was pasted on his office door for approximately two weeks without incident. On August 29, 2020, Brock Spack , Head Football Coach, asked Plaintiff to remove the poster from his door. Plaintiff removed the poster and Spack thanked him..

During this time, many players and students at ISU demanded that the Athletic Department publicly support the BLM Movement. This demand resulted in missed practices, and a boycott against ISU Athletics after Athletic Director Larry Lyons stated "All Redbird Lives Matter," to much public backlash from both players and students. On August 30, 2020, an image of the replacement poster on Plaintiff's door was shared with ISU football players. Players continued to boycott practices, and Plaintiff was informed by Spack that he was in trouble for his replacement poster. On September 2, 2020, Plaintiff was terminated from his position as the offensive coordinator because Spack didn't "like the direction of the offense." The decision to terminate Plaintiff was supported by AD Lyons. Plaintiff was placed in a different position where he received the single assignment of researching how other football coaches handled COVID-19. Plaintiff was replaced by two new coaches.

Plaintiff asserts that his termination by Spack and Lyons was direct retaliation for his expressing his viewpoint on the BLM Movement.

As both parties point out, the main issue in this case is whether Plaintiff was acting pursuant to his official duties when he put the replacement poster on his door, and thus, whether his speech was private speech or government speech. When a public employee makes a statement pursuant to their official job duties, he is not protected by the First Amendment, as he would if speaking as a private citizen. Garcetti v. Ceballos (2006). As pointed out by Plaintiff, speech can be considered part of one's official duties if it "owes its existence to a public employee's professional responsibilities"; is "commissioned or created" by the employer; "is part of what [the employee] was employed to do; is a task the employee "was paid to perform"; and "[has] no relevant analogue to speech by citizens who are not government employees." Coaches, like teachers or students, do not "shed their constitutional rights to freedom of speech or expression at the schoolhouse gate." Defendants argue that this District has specified that one's job duties are not limited to their formal job description, and the Court must evaluate "whether the speech is intimately connected with the speaker's job and to whom the speaker directed the speech."

The recent Supreme Court decision Kennedy v. Bremerton Sch. District further discusses this issue. Kennedy makes it clear that when a high school football coach engages in prayer after a high school football game, he is not engaged in speech that falls within his ordinary job duties. Just because a student or other staff members can see one exercising their freedom of speech does not transform private speech into government speech. During the football game, the coach's "prayers did not 'ow[e their] existence' to Mr. Kennedy's responsibilities as a public employee." The Court explained that while not everything a coach says in the workplace is considered government speech, one must evaluate the substance of the speech as well as the circumstances around the speech to determine whether or not the speech was within one's job duties. After such an evaluation, the Court held Mr. Kennedy's speech to be private speech outside of his official job duties, and concluded the school violated his rights under the First Amendment by terminating him.

The Court does not find that Plaintiff's actions were taken in furtherance of his official job duties. In putting up the replacement poster, Plaintiff was expressing his personal views, which in no way "owed their existence" to his responsibilities as a public employee. was not paid by the University to decorate his door or to use is to promote a particular viewpoint, he was employed to coach football. Further, ISU holds an Anti-Harassment and Non-Discrimination Policy, which states:

"Illinois State University is strongly committed to the ethical and legal principal that each member of the University Community enjoys the right to free speech. The right of free expression and the open exchange of ideas stimulates debate, promotes creativity, and is essential to a rich learning environment As members of the University Community, students and staff have a responsibility to respect others and show tolerance for opinions that differ from their own"

Under such a policy, Plaintiff should enjoy the right to express his personal viewpoint, within reason. While the opinion Plaintiff posted on his door may have been different than that of the majority, the BLM Movement was not a sanctioned school movement. Just as the ISU Athletic Department and staff were able to hang posters supporting the BLM Movement, Plaintiff had the protected right to create and hang his own poster, supporting his own message. There was no school policy prohibiting Plaintiff decorating his door in whichever fashion he might choose. Further, Plaintiff was not required, as a term of his employment, to either refrain from decorating his door or to decorate it in a certain way. Here, Plaintiff was not acting in his official job duties when he placed the poster on his door, and therefore, his was private speech protected by the First Amendment, satisfying the first of the two elements of a prima facie case of retaliation.

The second step in the [First Amendment retaliation test] is to evaluate [whether] " the protected speech caused, or at least played a substantial part in, the employer's decision to take adverse employment action against" [the employee]. The employer's stated reason for the termination was that Spack "didn't like the direction of the offense." However, in their Memorandum in Support of Motion to Dismiss, Defendants assert that the University was responding to the students' reactions to Plaintiff's speech, and not the speech itself. This termination is a motivating factor, as his speech "played a substantial part in" the decision to terminate him, thus satisfying the second element.

Both parties correctly state that if a public employee's speech is on a matter of public concern, and that employee is terminated because of that speech, that termination may be justified by the employer. Pickering v. Board of Education (1968). Pickering requires the Court to "balance between the interests of the teacher, as a citizen, in commenting upon matters of public concern and the interest of the State, as an employer, in promoting the efficiency of the public services it performs through its employees." [But]

Pickering contemplates a highly fact-specific inquiry into a number of interrelated factors Pickering balancing is not an exercise in judicial speculation. While it is true that in some cases the undisputed facts on summary judgment permit the resolution of a claim without a trial, that means only that the Pickering elements are assessed in light of a record free from material factual disputes This is precisely what the Supreme Court did in Connick, where its Pickering analysis looked to the actual testimony of the employee's supervisor regarding the potential impact of the employee's speech and then evaluated the other evidence in the record to determine whether it supported the employer's fears. We are not entitled to speculate as to what the employer might have considered the facts to be and what concerns about operational efficiencies it might have had, once the record shows what those concerns really were.

Because the parties have not yet had the opportunity to conduct discovery at this stage of the litigation, this Court cannot evaluate the facts under Pickering without engaging in speculation.

Congratulations toAdam W Ghrist (Finegan Rinker & Ghrist) andDouglas A. Churdar, who represent plaintiff.

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Police Lied to Get the Warrant to Search Breonna Taylors Home – Truthout

Posted: at 6:15 pm

The March 2020 killing of Breonna Taylor, which caused widespread protest around the country, was the result of police lies to obtain a warrant and racist police violence after officers forced their way into her apartment.

On August 4, the Department of Justice (DOJ) announced the federal grand jury indictments of four Louisville Metro Police officers involved in the raid that resulted in Taylors death.

Three of the officers were accused of violating Taylors Fourth Amendment rights to be free from unreasonable search and seizure by lying to secure a no-knock warrant. The officers who sought the warrant knew that the affidavit used to obtain the warrant to search Taylors home contained information that was false, misleading, and out-of-date; that the affidavit omitted material information; and that the officers lacked probable cause for the search, the indictment reads.

One of the defendants tried to get another officer to lie and say he had previously told him that a drug dealer (Taylors ex-boyfriend) had used her apartment to receive packages. An officer apparently broke the ubiquitous police code of silence and revealed to prosecutors that his fellow officer asked him to lie.

A judge issued a no-knock warrant based on the officers misrepresentations. The warrant specified that they did not have to knock and identify themselves as police before entering the apartment.

This case has widely been characterized as a no-knock warrant incident. But before police actually conducted the search, the court issued another warrant that required them to knock and announce their presence. The issue that led to their indictment is that the police officers lied to get the warrant.

Taylor and her boyfriend Kenneth Walker were in bed when they heard a loud banging on the door. They asked who was there, fearing it was Taylors ex trying to break in. But they never heard the police identify themselves. The officers claim that they knocked several times and identified themselves as police officers before entering.

The police used a battering ram to break down the door and Walker fired a gun (which he lawfully possessed) once, striking an officer in the thigh. Officers then fired several shots, hitting Taylor five times. Officer Brett Hankison shot 10 rounds into a bedroom and living room covered with blinds and a blackout curtain. No drugs were found in Taylors apartment.

Louisville Sgt. Kyle Meany and Detectives Joshua Jaynes and Kelly Hanna Goodlett were charged with making or adopting false statements in the affidavit to obtain the search warrant. Jaynes and Goodlett were accused of conspiring to falsify the affidavit. Hankison was charged with depriving Taylor, her boyfriend and neighbors of their Fourth Amendment rights by firing 10 bullets into a bedroom and living room. The only officer to be charged in state court, Hankison was acquitted of wanton endangerment of neighbors.

Tamika Palmer, Taylors mother, applauded the federal indictment of the officers, saying, Ive waited 874 days for today.

But those working to abolish the prison system did not celebrate the indictment. Chanelle Helm, co-founder of Louisville Black Lives Matter, said that she understands why people are calling for arresting the officers. But, she added, If were asking for the officers to be arrested thats contrary to abolition work.

Abolitionist group Critical Resistance points out that prosecuting police who have killed and abused civilians fails to reduce the scale of policing, and instead reinforces the prison industrial complex by portraying killer/corrupt cops as bad apples rather than part of a regular system of violence, and reinforces the idea that prosecution and prison serve real justice.

The bottom line is that real justice cannot come without a full reckoning with the system itself, which is grounded in centuries of oppression.

In March 2021, the International Commission of Inquiry on Systemic Racist Police Violence Against People of African Descent in the United States (for which I served as a rapporteur) found a pattern and practice of racist police violence in the U.S. in the context of a history of oppression dating back to the extermination of First Nations peoples, the enslavement of Africans, the militarization of U.S. society, and the continued perpetuation of structural racism.

The 188-page commission report details how Black people are targeted, surveilled, brutalized, maimed and killed by law enforcement officers, and concludes that the brutalization of Black people is compounded by the impunity afforded to offending police officers, most of whom are never charged with a crime. The overarching problem is structural racism embedded in the U.S. legal and policing systems.

If police knowingly or recklessly include false statements in an affidavit to obtain a search warrant, any evidence seized pursuant to the warrant will be suppressed. But that remedy provides no solace to people like Breonna Taylor who are killed as a result of systemic racist police violence.

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