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Coinbase, the largest crypto exchange in the US, faces a potential SEC investigation – Vox.com

Cryptocurrency has an SEC problem and it just got bigger.

The Biden administration is taking a more hands-on approach to the highly volatile, little understood, and barely regulated cryptocurrency industry. Cryptocurrencies are decentralized digital currencies secured by blockchain technology. Bitcoin, ethereum, and other cryptocurrencies have become almost as accessible as government-issued currency in recent years, but the government offers few consumer protections for them.

The Securities and Exchange Commission (SEC) led by Gary Gensler, who taught a class on cryptocurrency at MIT is trying to make the case that it can and will regulate whatever cryptocurrency investment schemes it decides fall under its purview. The relative newness and rapid expansion of the cryptocurrency industry have put it in a regulatory gray area. The Internal Revenue Service (IRS) classifies crypto as property. The Commodity Futures Trading Commission (CFTC) considers crypto to be a commodity. And the SEC has said that digital assets may be securities, depending on the facts and circumstances. A security is a financial asset that can be traded, like stocks and bonds, and which is governed by several laws designed to prevent fraud and protect investors.

The SEC appears to have decided that an upcoming offering from Coinbase, the largest cryptocurrency exchange in the United States, meets its definition of a security. And its showing that it will step in and regulate it accordingly and, by extension, regulate the rest of the crypto finance industry more assertively.

Cryptocurrency exchanges allow people to buy and sell crypto. Coinbase is one of the biggest in the world and recently went public. It was planning to launch a program called Lend, which would allow investors to let others borrow from them a form of crypto called USDC, a stablecoin whose value is tied to the value of the US dollar (one USDC is always supposed to equal and be traded for the value of one US dollar). In exchange, lenders would receive 4 percent interest on the loan a far higher rate than traditional banks currently offer on their savings accounts. This could have made the Coinbase Lend offering very attractive to consumers who wouldnt have otherwise risked investing in crypto.

Thats where the SEC stepped in, according to Coinbase. The company announced on Wednesday (or late Tuesday, if you count a Twitter thread from CEO Brian Armstrong) that the SEC threatened to sue the company if it launched Lend, but that the agency wouldnt tell Coinbase why it considered Lend to be a security, except that it was doing so through the prism of decades-old Supreme Court cases. These cases, informally known as Howey and Reves, are the prism through which every potential security is considered, including crypto services. Coinbase said it wanted formal guidance from the SEC on how it was using those cases to determine if Lend was a security, but the SEC wouldnt provide it.

The SEC has not officially commented yet, though some people think this tweet qualifies as a response.

The people behind Coinbase might be (or at least claim to be) clueless, but the SEC almost certainly knows what its doing here: asserting its regulatory control over the world of cryptocurrency banking and finance. And its doing so with a pugnaciousness not typical of the agency, according to anonymous former SEC officials who spoke to Bloomberg.

The announcement that the SEC is investigating Coinbases Lend program is consistent with regulators ongoing aggression regarding crypto, George Monaghan, an analyst with market intelligence firm GlobalData, told Recode.

As the New York Times recently explained, cryptocurrency is moving into the banking sector, offering services that are usually reserved for traditional banks, whose services are backed by government-issued currency (the dollar, for example) and have operated under consumer protection laws and regulations that go back decades. For example, some crypto companies now offer interest-bearing crypto accounts, debit cards, and credit cards with cryptocurrency rewards

Sen. Elizabeth Warren has called these shadow banks, noting they arent federally insured and could be more susceptible to hacks and fraud than traditional banks. Shes written to Gensler about her concerns, and, in his August 5 response, the SEC chair agreed that investors using these platforms are not adequately protected. He also said there were certain activities that the SEC can regulate, and that he believed lawmakers should prioritize legislation that addressed crypto trading and lending.

The SEC has previously shown an interest in cracking down on crypto. It launched a crypto regulation initiative in 2018, which became a standalone office within the agency last December. And it recently charged another crypto lending platform, BitConnect, with $2 billion in fraud for operating what the Department of Justice called a textbook Ponzi scheme. Another crypto company, BlockFi, which offers loans and high-interest deposit accounts backed by crypto and a credit card with a crypto rewards program, has been the subject of investigations from several state-level security regulators.

But Coinbase is bigger and more high-profile than those companies. GlobalDatas Monaghan didnt expect the fallout to be significant for Coinbase itself, as the Lend program wasnt yet active. But the SECs interest in Coinbase is a sign to every crypto finance company that there are still rules they have to follow, and they should expect consequences if they dont.

Those rules might be bulked up in the near future as the Biden administration and lawmakers work to address the regulatory gaps cryptocurrency falls into. Bidens proposed 2022 budget included crypto reporting requirements, the IRS is cracking down, and crypto regulations even became a temporary sticking point in the passage of the infrastructure bill. Adding to this or perhaps exacerbating it is concern over how cryptocurrency can be used to facilitate criminal activities; ransomware attacks often demand payment in bitcoin due to the difficulty in tracing those payments.

Crypto regulations are coming. The question now is whether the slow process of creating rules and passing laws will be able to keep up with the rapidly evolving world of cryptocurrency.

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Litecoin price jumped 20 percent after hoax linked the cryptocurrency to Walmart – The Verge

The Litecoin cryptocurrency saw its price spike by as much as 20 percent on Monday after a fake press release claimed Walmart would begin accepting Litecoin as payment.

The press release posted to GlobeNewswire linked to a non-functioning website, and there was no evidence of any Securities and Exchange Commission filing, which would have been expected since Walmart is publicly traded. Walmarts official newsroom never included the release, and the company typically uses Business Wire to distribute releases.

Dave Pleiss, vice president, investor and public relations for GlobeNewswire said in an email to The Verge that this has never happened to the company before.

When GlobeNewswire became aware this morning that a fraudulent user account was used to issue an illegitimate press release we promptly withdrew the press release and issued a Notice to Disregard. Pleiss wrote.

The company has already put into place enhanced authentication steps to prevent this isolated incident from occurring in the future, Pleiss added, and said GlobeNewswire was working with authorities on a full investigation, including into any criminal activity associated with this matter.

Several news outlets published reports based on the hoax press release, and a short time later Litecoins price jumped, along with those of other cryptocurrencies, before quickly falling back to the previous levels.

Its not yet clear who may have been behind the hoax press release, but a Walmart spokesperson confirmed to CNBC that the news announcement was fake. Walmart didnt reply to a request for comment from The Verge on Monday.

Update: September 13th 4:50PM ET: Adds comment from GlobeNewswire spokesperson.

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Cryptocurrency Prices Today on September 14: Bitcoin, Ether, Cardano plunges over 14% in one week – Moneycontrol.com

September 14, 2021 / 07:51 AM IST

Cryptocurrency prices continue to be in the red on September 14. The global cryptocurrency market cap is $2.06 trillion, a 0.85 percent decrease over the last day, while the total crypto market volume over the last 24 hours is $139.62 billion, which makes a 28.7 percent increase.

The volume of all stable coins is now $109.44 billion 78.39 percent of the total crypto market 24-hour volume. Bitcoin's price is currently $45,160.42 and its dominance is currently 41.28 percent, an increase of 0.32 percent over the day.

Walmart Inc said on Monday it was looking into how a fake press statement announcing a partnership with litecoin, which briefly led to near 30% gains in the cryptocurrency, was issued by news release distributor GlobeNewswire.

The fake press release touting the acceptance of litecoin as online payment by the world's largest retailer led to a sudden spike in its prices, but the gains faded quickly after Walmart issued a statement saying the press release was fraudulent.

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No, Walmart is not partnering with Litecoin cryptocurrency – KING5.com

A press release linking the retailer and digital currency together was fake. Both Walmart and Litecoin say they do not have a partnership.

Walmart is the largest retailer in the United States,according to the National Retail Federation. So, an announcement of a partnership with a cryptocurrency would be big news.

On the morning of Sept. 13, apress release was circulated by GlobeNewswire, a service that distributes press releases to media organizations, that said Walmart had teamed up with Litecoin to accept the cryptocurrency as a form of payment. Immediately following the press release, people on social media withhundreds of thousands of followers begansharing the information. News organizations, including Reuters and CNBC, published stories about the partnership announcement.

THE QUESTION

Is Walmart partnering with Litecoin cryptocurrency?

THE SOURCES

THE ANSWER

No, Walmart is not partnering with Litecoin. The press release linking Walmart and Litecoin was fake.

WHAT WE FOUND

Walmart and Litecoin Foundation both said the press release was fake and that they do not have a partnership.

Walmart had no knowledge of the press release issued by GlobeNewswire, and it is incorrect. Walmart has no relationship with Litecoin,the Walmart statement said.

The Litecoin Foundation has not entered into a partnership with Walmart of any kind,the Litecoin Foundation statement said.

According to its statement, the Litecoin Foundation said a member of its social media team tweeted about the illegitimate partnership on the Litecoin Twitter account. That tweet was then deleted.

GlobeNewswire laterissued a notice to disregard the press release. In an emailed statement to VERIFY, the company said a fraudulent user account issued the fake press release.

This has never happened before and we have already put in place enhanced authentication steps to prevent this isolated incident from occurring in the future, the company told VERIFY.

BothReuters andCNBC updated their stories with corrections after the Walmart-Litecoin partnership had been debunked.

Immediately following the distribution of the fake press release, the price of Litecoin surged.

According to CoinMarketCap, a cryptocurrency price-tracking website, the price of Litecoin was around $175 Monday morning and skyrocketed to just over $230 following the fake press release. Once the word spread that Litecoin and Walmart were not partnering together, the cryptocurrencys price fell to around $180.

The hoax partnership announcement appeared to be a case of price manipulation or apump and dump where someone fraudulently causes the price of something to go up and cashes out before it goes back down.

The U.S. Commodity Futures Trading Commission says virtual currencies and digital tokens are largely unregulated and urges consumers to use caution when buying virtual currency.

The VERIFY team works to separate fact from fiction so that you can understand what is true and false. Please consider subscribing to our daily newsletter, text alerts and our YouTube channel. You can also follow us on Snapchat, Twitter, Instagram, Facebook and TikTok. Learn More

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Visualising the future through data at these 4 US universities – Study International News

The age of data is here. From Facebook comments to tweets to Instagram stories, the sheer amount of online content is revolutionising industries and businesses.

Data is the fuel that powers how we personalise marketing, improve healthcare, predict political revolutions, profile customers, fight crime and even create art. With the explosion of big data and the exponential increases in computing power and storage, we are living through a time of immense digital transformation.

Technological growth is exponential, with Moores Law dictating that the speed of computer processing doubles every 18 months. Devices in our pockets and at the bottom of our bags harness this high-tech power, with every trace of our digital footprints feeding data to the cloud.

Today, we rely more on Alexa, than we do the people around us. This tech boom has led to high demand for graduates with data science degrees. They allow students to grab the digital nature of our lives head-on and carve out unprecedented career paths in new and exciting fields.

Here are four US universities that will prepare you for a lucrative career in this field:

Having information isnt the same as being informed. And no institution understands this better than the University of Miami. Question is, how can data be used to identify trends or pinpoint new solutions? The answer can be found in UMs Master of Science in Data Science programme an interdisciplinary course offered by the College of Arts and Sciences.

At the University Miami, students benefit from the universitys affiliation with the Miami Institute for Data Science and Computing. Source: University of Miami

In the past, these vast amounts of data were only available to specialists, scientists and statisticians. Today, any one of us can take advantage of this data, says Alberto Cairo Knight Chair in Visual Journalism.

This programme provides interdisciplinary connections and experiential learning opportunities across all aspects of data science and computing: from machine learning to marine science, from city planning to communications. The available concentrations include: Technical Data Science; Data Visualisation; Smart Cities; Marine and Atmospheric Sciences; Educational Measurement and Statistics; and Marketing.

Students benefit from the universitys affiliation with the Miami Institute for Data Science and Computing. The institute hosts Triton and Pegasus, two GPU-accelerated high-performance supercomputers, and provides internships through industry partners. Upon graduation, students are either employed or accepted at a PhD programme.

Miami has recently benefited from investments of over $12 million from the Knight Foundation and Phillip and Patricia Frost in technology growth. As the government continues to establish Miami as a global technology hub, opportunities are endless for UM students.

Oregon State University is nestled in the city of Corvallis, granting students access to a diverse landscape of forests, mountains and beaches. The university provides hands-on experiences that maximise classroom learning, making studying an incredibly exciting endeavour.

At OSU, youll study alongside a student community representing all 50 states in the US and more than 100 countries. Source: Oregon State University

At OSU, youll study alongside a student community representing all 50 states in the US and more than 100 countries.

Here, you can kickstart a prosperous career in the science, technology, engineering or mathematics (STEM) sectors with top-quality education and support from the College of Science.

Data science tackles todays toughest challenges. And the College of Science is where youll solve them. Whether youre an experienced analytics professional or looking to change careers and become one, the Master of Science degree or a Graduate Certificate in Data Analytics from Oregon State University is for you.

These programmes are designed for ambitious professionals who want to add more statistical or analytical skills to their repertoire and who are seeking advancement or a transition to a new functional area.

The need to train community members in data science has never been more essential. Data science skills are critical for all students, not just those in STEM, says Professor of Statistics James Molyneux.

If you want to explore the intersections of people, data, and technology then the University of Arizonas School of Information is the place to be. The iSchool is a research-rich, business-focused department with a global reputation for academic excellence. This is where experts, academics and students are working together to create a more diverse, equitable, and inclusive future through information.

The iSchool is a research-rich, business-focused department with a global reputation for academic excellence. Source: University of Arizona

To train the information professionals of tomorrow, the school offers several academic programmes along with a number of certificates. Students can choose from specialisations in information management; data analysis; artificial intelligence; librarianship; social media marketing; and many more.

To develop a skillset in high demand, choose the Bachelor of Information Science and Technology programme. Youll learn a variety of knowledge and skills, from designing a stunning visualisation of scientific data to building an app for fieldwork data collection, from setting up business IT processes to delivering a scientific product via the internet.

As the programme is hands-on, students participate in internships and develop valuable contacts with local and national companies, such as Hydrant, Octavia Digital Media, and the Enterprise Technology division of State Farm.

At the University of WisconsinMadison, youll learn from top-notch faculty who are at the forefront of creating new knowledge in their fields.

The University of WisconsinMadison has been a catalyst for the extraordinary. Source: University of WisconsinMadison

This is a university for innovative thinkers and creative problem solvers. The MS degree in Statistics with a named option in biostatistics trains the candidate to contribute substantially to the statistical analysis of biomedical problems.

You will learn how to demonstrate understanding of statistical theories, methodologies, and applications as tools in scientific inquiries; select and utilise the most appropriate statistical methodologies and practices; and synthesise information pertaining to questions in empirical studies.

An MS in Statistics with a named option in data science is also available.

At the Statistics Department, youll have access to extensive computing facilities, both hardware and software, that support instruction and research.

Students also benefit from the departments close involvement with the Biometry MS, and with the School of Medicine and Public Health Department of Biostatistics and Medical Informatics.

Being a student at the University of WisconsinMadison means youll have access to field research, internships, laboratory experience, entrepreneurial opportunities and more.

Thats not all. Youll also benefit from the universitys active knowledge- and technology-transfer partnerships with government and industry.

*Some of the institutions featured in this article are commercial partners of Study International

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Legacy Companies Biggest AI Challenge Often Isnt What You Might Think – Forbes

Whenstarting outto deploy artificial intelligence (AI) and machine learning (ML), executives of legacy companiesoftenview thechallengesmainly astechnical problemsparticularly findingsources ofinternal datato analyze and choosingthe righttools. What they may not appreciate is just how data-rich their legacy companies already are.

From utilities and mining, transportation and shipping, to financial services and more, legacy company operationsand customer interactionsgenerate a wealth of data. Such data can be harnessed to tacklea very wide rangeof issues: optimizing supply chains,predictingmaintenance, reducing accidents, increasing production output, improving operational efficiency, raising revenue productivity, and growing customer value.

To realize these opportunities using AI, however, legacy companies worldwidetypically soondiscover that their biggest problem isnottechnology its talent.Demandfor data scientists and analysts is intense and continues to exceed supply. Amazon, Facebook, Google, and other tech leaders hire massive numbers of data scientists, offeringthemfascinating challengesand compelling opportunities. Bycomparison,from the viewpoint of a sharp data scientist with leading-edge AI proficiency,a 100-year-old company that makes tractors, manufactures appliances, operates power plants, or ships containers may seem boring.

In addition, legacy companies are often located outside of major tech hubs such as Silicon Valley, Seattle, Austin, New York,or Los Angeles all of which can make it even more difficult for legacy companies to find the data scientists they need. There is a solution: a two-pronged talent strategy of hiring externally and building internally.

Recruiting TalentUsing Interesting Problems

To attract data scientists, legacy companies can and shouldfocus onthe compelling, unique, and real-world business problems that theyoffer. As Grant Case, director of sales engineering for Dataiku, a leader in applying AI and ML forenterprises, who works with legacy companies in Australia and New Zealand, told me recently, We need to give data scientists interesting problems to work on and turn into value. Thats where the magic happens.

Virtually every legacy company across all industries has very complex and thus very interesting questions and problems that offer robust opportunities for intellectually curious data scientists to dig into, such as:

Unsnarling extraordinarily complex airline systems when weather closes multiple hubs

Optimizing electricity grids and storage in a world of distributed, multi-directional, production, transmission, and storage

Predicting accidents to reduce on-the-job injuries

Optimizing global shipping networks and supply chains in real time for millions of containers every day

Maximizing crop production from each square foot/meter of earth

BerianJames, head of data science and AI at Maersk, the global shipping giant, described optimizing their shipping network as a really interesting data science problem.Maersk uses AI and ML to address a wide range of problems and opportunities, from providing its customers with arrival intelligence for their shipments to advancing the companys decarbonization efforts.

Virtually every legacy enterprise, if executives stop and think about it, offers fascinating business questions, problems, and challenges that can stimulate the intellectual curiosity and challenge the technical proficiency of data scientists and AI talent.Thus, an emerging best practice for legacy companiesto recruit the talent they needis touse these interesting questions tooffer data scientistsfresh opportunitiesto personally addressand have an impact in solvingengaging, unique business problems. Suchscenariosmay be more appealing than becoming the latest addition to the multitude at Facebook, Apple, Netflix, Alphabet, and similar firms.

DevelopingHomegrown TalentCombining the Right Aptitudewith Business Understanding

Hiring data scientistsexternallyisnt the only solution.While its not the answer in every case,developingdata science and AI proficiencywithinternaltalentis often faster, easierand more productive,and can be more than sufficient for a wide range of business purposes.Internal subject-matter experts, who have the right aptitudes and interests, already understand the business. Thiscan bemore desirableand impactfulthan going outside the company to hire a data scientist who although technically advanced is unfamiliar with the industry and business-specificor company-specificproblemsand challenges. Ive heard many stories from executives at legacy companies that hired data scientists and embedded them into the business with great hopes only to be disappointed when it proved difficult to integrate those data scientists with the ongoing business management and processes.

While internallydeveloped talentmay notreplace the most advanced data scientists for the knottiest problems, they can often significantly advance the companys AI and ML useand produce material business value. Certain disciplines found within legacy companies are particularly well-suited to developing AI and ML expertise. Engineers of all types, operationsresearchers, physical scientists, revenue managers, and others typically have the technical foundation, quantitative aptitude, proficiency with data, and intellectual curiosity tolearn how to apply AI and MLand develop the capabilities to do so.

Casegave the example of a steel company where chemists and metallurgists deal with production challenges that could be addressed with data and AI. You can find talented individuals who want to progress in their careers and enable them with the right training, he told me.Plus, they typically have the important advantage of understanding the business and, thus, credibility with business leaders.

Solving the People Problem

It is increasingly evident, in talking with executives in a wide range of legacy companies who are working to apply AI and ML,that the biggest challenges are culture, connecting data science and AI to business management and processes and, particularly, finding the talent needed.Its not primarily a technical problem.As executives of these companies tell me, theongoing challenges arefinding the right people and incorporating them, along with AI applications, into theactual working ofanenterprise.

Theseobservationsdemonstrate that now, more than ever, using data scienceand AIto realize practical gains requiresadeptbusiness leadership. Senior leaders must understand what reallydrives and enables data scientists so that their companies can attract, grow, and integrate this talent in a legacy businessto create business value.

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$300K to teach data science for the jobs of the future | University of Hawaii System News – UH System Current News

Alexander Stokes

Teaching critical data science skills to a broad group of students is the focus of a University of Hawaii project that just received a $300,000 grant from the National Science Foundation (NSF). The John A. Burns School of Medicine (JABSOM) and the Hawaii Data Science Institute (HIDSI) announced the award for the two-year project entitled JADE-Justice-oriented Approaches to Data Science Education.

Data science skills are going to be critical for the jobs of the future. Whether that job is in healthcare, in finance or fighting climate change, data science will be a component of day-to-day employment, in the same way that word processing and spreadsheets became essential 30 years ago, said Principal Investigator Alexander Stokes, JABSOM assistant professor of cell and molecular biology and affiliated faculty with HIDSI. This award focuses on developing these skills in the widest possible group of students, especially those who are not in traditional computer science undergraduate or graduate programs. This NSF-funded research will look at new teaching methods to engage a wide cross-section of students in data science training and research. We want to enrich their undergraduate or graduate experience, and arm them with skills and experiences that give them a competitive edge in tomorrows job market.

HIDSI Co-Director Gwen Jacobs said, We are celebrating this award to Dr. Stokes, who is an excellent example of our virtual institute model at HIDSI, where we invite faculty from a broad range of scientific domains across UH to enrich their research and teaching with data science approaches. As a HIDSI member, Alex started using advanced data science approaches to identify new or understudied therapeutic targets for heart and other diseases and then started exploring the integration of data science and analytics into teaching. This is a highly competitive award that reflects NSF investment both in a research program and an individual who is a future leader in STEM education and research.

The JADE award will support research on data science pedagogy and directly links to Gov. David Iges Digital Economy vision and the NSF 10 Big Ideas focus area of Harnessing the Data Revolution to strengthen science, technology and the economy.

A digital economy recognizes that data are everywhere, Stokes said. As a university, and a state, we need to make sure that the analysts, engineers, physicians, nurses, entrepreneurs, climate scientists, journalists, etc., that we are training, have the skills to enhance their field through data-driven decision making.

Camaron Miyamoto, director of the LGBTQ+ Center at UH Mnoa, who supported the grants design and submission, said the award is also fundamentally about equity.

Alex is looking at inclusive pedagogy in data science, not only for students outside traditional computer sciences, but importantly asking how we reach and include groups who have been historically excluded and marginalized in STEM. Miyamoto said. Alex believes that focusing students on social justice issues in their research projects and involving them in wrangling data that can be used to effect social change, will resonate with under-represented students including BIPOC (Black, Indigenous, People of Color) and LGBTQIA+ (lesbian, gay, bisexual, transgender, queer/questioning ones sexual or gender identity, intersex and asexual/aromantic/agender) participants.

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Is AI racist? Why more diversity is needed in the field of data science – The National

If someone were to describe a person of colour as an animal, their comments would be rightly called out as racist. When artificial intelligence does the same thing, however, the creators of that AI are careful to avoid using the r word.

Earlier this month, a video on Facebook featuring a number of black men ended with a prompt asking the viewer if they wanted to keep seeing videos about Primates. Facebooks subsequent apology described the caption as an error which was unacceptable.

An ever-growing catalogue of algorithmic bias against people of colour is referred to by the offending companies using increasingly familiar language: problematic, unfair, a glitch or an oversight.

Campaigners are now pressing for more acknowledgement by these businesses that the AI systems they have built and that have a growing impact on our lives may be inherently racist.

This animalisation of racialised people has been going on since at least 2015, from a great many companies, including Google, Apple and now Facebook, says Nicolas Kayser-Bril, a data journalist working for advocacy organisation AlgorithmWatch.

The infamous incident in 2015, in which two people of colour were labelled by Google Photos as gorillas, caused an outcry, but Kayser-Bril is scathing about the lack of action.

Google simply removed the labels that showed up in the news story, he says. It's fair to say that there is no evidence that these companies are working towards solving the racism of their tools.

To remove systemic racism would necessitate huge work on the part of many institutions in society, including regulators and governments.

Nicolas Kayser-Bril, data journalist

The bias demonstrated by algorithms extends far beyond the mislabelling of digital photos. Tay, a chatbot created by Microsoft in 2016, was using racist language within hours of its launch. The same year, a misconceived AI beauty contest consistently rated white people more attractive than people of colour.

Facial-recognition software has been shown to perform significantly better on white people than black, leaving people of colour susceptible to wrongful arrest when such systems are used by police.

AI has also been shown to introduce levels of prejudice and bias into social media, online gaming and even government policy and yet the subsequent apologies apportion the blame to the AI itself, rather like a parent trying to explain the actions of a naughty child.

But as campaigners point out, AI only has one teacher: human beings. We might think that AI is neutral, a useful way of removing bias from human decision making, but it appears to be imbued with all the inequalities inherent in society.

"Data is a reflection of our history, says computer scientist Joy Buolamwini in the Netflix documentary Coded Bias. The past dwells within our algorithms.

In a striking scene from the documentary, Buolamwini, a woman of colour, uses a facial recognition system that reports back no face detected. When she puts on a white mask, she passes the test immediately. The reason: the algorithm making the decision has been trained on overwhelmingly white data sets.

For all the efforts being made around the world to forge a more inclusive society, AI only has the past to learn from. If you feed a system data from the past, it's going to replicate and amplify whatever bias is present, says Kayser-Bril. AI, by construction, is never going to be progressive.

Data can end up creating feedback loops and self-fulfilling prophecies. In the US, police using predictive software direct greater surveillance of black neighbourhoods because that is where existing systems are prioritising. Prospective employers and credit agencies using biased systems will end up making unfair decisions, and those at the sharp end will never know that a computer was responsible.

This opacity, according to Kayser-Bril, is both concerning and unsurprising. We have no idea of how widespread the problem is because there is no way to systematically audit the system, he says. It's opaque but I would argue that it's not really a problem for these private companies. Their job is not to be transparent and to do good.

Some companies certainly appear to be acting positively. In 2020, Facebook promised to build products to advance racial justice this includes our work to amplify black voices".

Every apology from Silicon Valley is accompanied by a commitment to work on the problem. But a UN report published at the beginning of this year was clear where the fault lies.

AI tools are mainly designed by developers in the West," it said. "In fact, these developers are overwhelmingly white men, who also account for the vast majority of authors on AI topics.

The report went on to call for more diversity in the field of data science.

People working in the industry may bristle at accusations of racism, but as Ruha Benjamin explains in her book Race After Technology, it is possible to perpetuate racist systems without having any ill intent.

No malice needed, no N-word required, just lack of concern for how the past shapes the present, she writes.

But with AI systems having been painstakingly built and taught from the ground up over the past few years, what chance is there of reversing the damage?

The benchmarks that these systems use have only very recently started to take into account systemic bias, says Kayser-Bril. "To remove systemic racism would necessitate huge work on the part of many institutions in society, including regulators and governments.

This uphill struggle was eloquently expressed by Canadian computer scientist Deborah Raji, writing for the MIT Technology Review.

The lies embedded in our data are not much different from any other lie white supremacy has told, she says. They will thus require just as much energy and investment to counteract.

Updated: September 13th 2021, 4:35 AM

Common OCD symptomsand how they manifest

Checking: the obsession or thoughts focus on some harm coming from things not being as they should, which usually centre around the theme of safety. For example, the obsession is the building will burn down, therefore the compulsion is checking that the oven is switched off.

Contamination: the obsession is focused on the presence of germs, dirt or harmful bacteria and how this will impact the person and/or their loved ones. For example, the obsession is the floor is dirty; me and my family will get sick and die, the compulsion is repetitive cleaning.

Orderliness: the obsession is a fear of sitting with uncomfortable feelings, or to prevent harm coming to oneself or others. Objectively there appears to be no logical link between the obsession and compulsion. For example, I wont feel right if the jars arent lined up or harm will come to my family if I dont line up all the jars, so the compulsion is therefore lining up the jars.

Intrusive thoughts: the intrusive thought is usually highly distressing and repetitive. Common examples may include thoughts of perpetrating violence towards others, harming others, or questions over ones character or deeds, usually in conflict with the persons true values. An example would be: I think I might hurt my family, which in turn leads to the compulsion of avoiding social gatherings.

Hoarding: the intrusive thought is the overvaluing of objects or possessions, while the compulsion is stashing or hoarding these items and refusing to let them go. For example, this newspaper may come in useful one day, therefore, the compulsion is hoarding newspapers instead of discarding them the next day.

Source: Dr Robert Chandler, clinical psychologist at Lighthouse Arabia

Common OCD symptomsand how they manifest

Checking: the obsession or thoughts focus on some harm coming from things not being as they should, which usually centre around the theme of safety. For example, the obsession is the building will burn down, therefore the compulsion is checking that the oven is switched off.

Contamination: the obsession is focused on the presence of germs, dirt or harmful bacteria and how this will impact the person and/or their loved ones. For example, the obsession is the floor is dirty; me and my family will get sick and die, the compulsion is repetitive cleaning.

Orderliness: the obsession is a fear of sitting with uncomfortable feelings, or to prevent harm coming to oneself or others. Objectively there appears to be no logical link between the obsession and compulsion. For example, I wont feel right if the jars arent lined up or harm will come to my family if I dont line up all the jars, so the compulsion is therefore lining up the jars.

Intrusive thoughts: the intrusive thought is usually highly distressing and repetitive. Common examples may include thoughts of perpetrating violence towards others, harming others, or questions over ones character or deeds, usually in conflict with the persons true values. An example would be: I think I might hurt my family, which in turn leads to the compulsion of avoiding social gatherings.

Hoarding: the intrusive thought is the overvaluing of objects or possessions, while the compulsion is stashing or hoarding these items and refusing to let them go. For example, this newspaper may come in useful one day, therefore, the compulsion is hoarding newspapers instead of discarding them the next day.

Source: Dr Robert Chandler, clinical psychologist at Lighthouse Arabia

Common OCD symptomsand how they manifest

Checking: the obsession or thoughts focus on some harm coming from things not being as they should, which usually centre around the theme of safety. For example, the obsession is the building will burn down, therefore the compulsion is checking that the oven is switched off.

Contamination: the obsession is focused on the presence of germs, dirt or harmful bacteria and how this will impact the person and/or their loved ones. For example, the obsession is the floor is dirty; me and my family will get sick and die, the compulsion is repetitive cleaning.

Orderliness: the obsession is a fear of sitting with uncomfortable feelings, or to prevent harm coming to oneself or others. Objectively there appears to be no logical link between the obsession and compulsion. For example, I wont feel right if the jars arent lined up or harm will come to my family if I dont line up all the jars, so the compulsion is therefore lining up the jars.

Intrusive thoughts: the intrusive thought is usually highly distressing and repetitive. Common examples may include thoughts of perpetrating violence towards others, harming others, or questions over ones character or deeds, usually in conflict with the persons true values. An example would be: I think I might hurt my family, which in turn leads to the compulsion of avoiding social gatherings.

Hoarding: the intrusive thought is the overvaluing of objects or possessions, while the compulsion is stashing or hoarding these items and refusing to let them go. For example, this newspaper may come in useful one day, therefore, the compulsion is hoarding newspapers instead of discarding them the next day.

Source: Dr Robert Chandler, clinical psychologist at Lighthouse Arabia

Common OCD symptomsand how they manifest

Checking: the obsession or thoughts focus on some harm coming from things not being as they should, which usually centre around the theme of safety. For example, the obsession is the building will burn down, therefore the compulsion is checking that the oven is switched off.

Contamination: the obsession is focused on the presence of germs, dirt or harmful bacteria and how this will impact the person and/or their loved ones. For example, the obsession is the floor is dirty; me and my family will get sick and die, the compulsion is repetitive cleaning.

Orderliness: the obsession is a fear of sitting with uncomfortable feelings, or to prevent harm coming to oneself or others. Objectively there appears to be no logical link between the obsession and compulsion. For example, I wont feel right if the jars arent lined up or harm will come to my family if I dont line up all the jars, so the compulsion is therefore lining up the jars.

Intrusive thoughts: the intrusive thought is usually highly distressing and repetitive. Common examples may include thoughts of perpetrating violence towards others, harming others, or questions over ones character or deeds, usually in conflict with the persons true values. An example would be: I think I might hurt my family, which in turn leads to the compulsion of avoiding social gatherings.

Hoarding: the intrusive thought is the overvaluing of objects or possessions, while the compulsion is stashing or hoarding these items and refusing to let them go. For example, this newspaper may come in useful one day, therefore, the compulsion is hoarding newspapers instead of discarding them the next day.

Source: Dr Robert Chandler, clinical psychologist at Lighthouse Arabia

Common OCD symptomsand how they manifest

Checking: the obsession or thoughts focus on some harm coming from things not being as they should, which usually centre around the theme of safety. For example, the obsession is the building will burn down, therefore the compulsion is checking that the oven is switched off.

Contamination: the obsession is focused on the presence of germs, dirt or harmful bacteria and how this will impact the person and/or their loved ones. For example, the obsession is the floor is dirty; me and my family will get sick and die, the compulsion is repetitive cleaning.

Orderliness: the obsession is a fear of sitting with uncomfortable feelings, or to prevent harm coming to oneself or others. Objectively there appears to be no logical link between the obsession and compulsion. For example, I wont feel right if the jars arent lined up or harm will come to my family if I dont line up all the jars, so the compulsion is therefore lining up the jars.

Intrusive thoughts: the intrusive thought is usually highly distressing and repetitive. Common examples may include thoughts of perpetrating violence towards others, harming others, or questions over ones character or deeds, usually in conflict with the persons true values. An example would be: I think I might hurt my family, which in turn leads to the compulsion of avoiding social gatherings.

Hoarding: the intrusive thought is the overvaluing of objects or possessions, while the compulsion is stashing or hoarding these items and refusing to let them go. For example, this newspaper may come in useful one day, therefore, the compulsion is hoarding newspapers instead of discarding them the next day.

Source: Dr Robert Chandler, clinical psychologist at Lighthouse Arabia

Common OCD symptomsand how they manifest

Checking: the obsession or thoughts focus on some harm coming from things not being as they should, which usually centre around the theme of safety. For example, the obsession is the building will burn down, therefore the compulsion is checking that the oven is switched off.

Contamination: the obsession is focused on the presence of germs, dirt or harmful bacteria and how this will impact the person and/or their loved ones. For example, the obsession is the floor is dirty; me and my family will get sick and die, the compulsion is repetitive cleaning.

Orderliness: the obsession is a fear of sitting with uncomfortable feelings, or to prevent harm coming to oneself or others. Objectively there appears to be no logical link between the obsession and compulsion. For example, I wont feel right if the jars arent lined up or harm will come to my family if I dont line up all the jars, so the compulsion is therefore lining up the jars.

Intrusive thoughts: the intrusive thought is usually highly distressing and repetitive. Common examples may include thoughts of perpetrating violence towards others, harming others, or questions over ones character or deeds, usually in conflict with the persons true values. An example would be: I think I might hurt my family, which in turn leads to the compulsion of avoiding social gatherings.

Hoarding: the intrusive thought is the overvaluing of objects or possessions, while the compulsion is stashing or hoarding these items and refusing to let them go. For example, this newspaper may come in useful one day, therefore, the compulsion is hoarding newspapers instead of discarding them the next day.

Source: Dr Robert Chandler, clinical psychologist at Lighthouse Arabia

Common OCD symptomsand how they manifest

Checking: the obsession or thoughts focus on some harm coming from things not being as they should, which usually centre around the theme of safety. For example, the obsession is the building will burn down, therefore the compulsion is checking that the oven is switched off.

Contamination: the obsession is focused on the presence of germs, dirt or harmful bacteria and how this will impact the person and/or their loved ones. For example, the obsession is the floor is dirty; me and my family will get sick and die, the compulsion is repetitive cleaning.

Orderliness: the obsession is a fear of sitting with uncomfortable feelings, or to prevent harm coming to oneself or others. Objectively there appears to be no logical link between the obsession and compulsion. For example, I wont feel right if the jars arent lined up or harm will come to my family if I dont line up all the jars, so the compulsion is therefore lining up the jars.

Intrusive thoughts: the intrusive thought is usually highly distressing and repetitive. Common examples may include thoughts of perpetrating violence towards others, harming others, or questions over ones character or deeds, usually in conflict with the persons true values. An example would be: I think I might hurt my family, which in turn leads to the compulsion of avoiding social gatherings.

Hoarding: the intrusive thought is the overvaluing of objects or possessions, while the compulsion is stashing or hoarding these items and refusing to let them go. For example, this newspaper may come in useful one day, therefore, the compulsion is hoarding newspapers instead of discarding them the next day.

Source: Dr Robert Chandler, clinical psychologist at Lighthouse Arabia

Common OCD symptomsand how they manifest

Checking: the obsession or thoughts focus on some harm coming from things not being as they should, which usually centre around the theme of safety. For example, the obsession is the building will burn down, therefore the compulsion is checking that the oven is switched off.

Contamination: the obsession is focused on the presence of germs, dirt or harmful bacteria and how this will impact the person and/or their loved ones. For example, the obsession is the floor is dirty; me and my family will get sick and die, the compulsion is repetitive cleaning.

Orderliness: the obsession is a fear of sitting with uncomfortable feelings, or to prevent harm coming to oneself or others. Objectively there appears to be no logical link between the obsession and compulsion. For example, I wont feel right if the jars arent lined up or harm will come to my family if I dont line up all the jars, so the compulsion is therefore lining up the jars.

Intrusive thoughts: the intrusive thought is usually highly distressing and repetitive. Common examples may include thoughts of perpetrating violence towards others, harming others, or questions over ones character or deeds, usually in conflict with the persons true values. An example would be: I think I might hurt my family, which in turn leads to the compulsion of avoiding social gatherings.

Hoarding: the intrusive thought is the overvaluing of objects or possessions, while the compulsion is stashing or hoarding these items and refusing to let them go. For example, this newspaper may come in useful one day, therefore, the compulsion is hoarding newspapers instead of discarding them the next day.

Source: Dr Robert Chandler, clinical psychologist at Lighthouse Arabia

Common OCD symptomsand how they manifest

Checking: the obsession or thoughts focus on some harm coming from things not being as they should, which usually centre around the theme of safety. For example, the obsession is the building will burn down, therefore the compulsion is checking that the oven is switched off.

Contamination: the obsession is focused on the presence of germs, dirt or harmful bacteria and how this will impact the person and/or their loved ones. For example, the obsession is the floor is dirty; me and my family will get sick and die, the compulsion is repetitive cleaning.

Orderliness: the obsession is a fear of sitting with uncomfortable feelings, or to prevent harm coming to oneself or others. Objectively there appears to be no logical link between the obsession and compulsion. For example, I wont feel right if the jars arent lined up or harm will come to my family if I dont line up all the jars, so the compulsion is therefore lining up the jars.

Intrusive thoughts: the intrusive thought is usually highly distressing and repetitive. Common examples may include thoughts of perpetrating violence towards others, harming others, or questions over ones character or deeds, usually in conflict with the persons true values. An example would be: I think I might hurt my family, which in turn leads to the compulsion of avoiding social gatherings.

Hoarding: the intrusive thought is the overvaluing of objects or possessions, while the compulsion is stashing or hoarding these items and refusing to let them go. For example, this newspaper may come in useful one day, therefore, the compulsion is hoarding newspapers instead of discarding them the next day.

Source: Dr Robert Chandler, clinical psychologist at Lighthouse Arabia

Common OCD symptomsand how they manifest

Checking: the obsession or thoughts focus on some harm coming from things not being as they should, which usually centre around the theme of safety. For example, the obsession is the building will burn down, therefore the compulsion is checking that the oven is switched off.

Contamination: the obsession is focused on the presence of germs, dirt or harmful bacteria and how this will impact the person and/or their loved ones. For example, the obsession is the floor is dirty; me and my family will get sick and die, the compulsion is repetitive cleaning.

Orderliness: the obsession is a fear of sitting with uncomfortable feelings, or to prevent harm coming to oneself or others. Objectively there appears to be no logical link between the obsession and compulsion. For example, I wont feel right if the jars arent lined up or harm will come to my family if I dont line up all the jars, so the compulsion is therefore lining up the jars.

Intrusive thoughts: the intrusive thought is usually highly distressing and repetitive. Common examples may include thoughts of perpetrating violence towards others, harming others, or questions over ones character or deeds, usually in conflict with the persons true values. An example would be: I think I might hurt my family, which in turn leads to the compulsion of avoiding social gatherings.

Hoarding: the intrusive thought is the overvaluing of objects or possessions, while the compulsion is stashing or hoarding these items and refusing to let them go. For example, this newspaper may come in useful one day, therefore, the compulsion is hoarding newspapers instead of discarding them the next day.

Source: Dr Robert Chandler, clinical psychologist at Lighthouse Arabia

Common OCD symptomsand how they manifest

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Is AI racist? Why more diversity is needed in the field of data science - The National

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dotData and Tableau Partner to Accelerate Augmented and Predictive Analytics for the Business Intelligence Community – Yahoo Finance

dotData empowers Tableau users to derive deeper, more diverse, and more predictive insights from their data via no-code, AI Automation

SAN MATEO, Calif., Sept. 14, 2021 /PRNewswire/ -- dotData, a leader in full-cycle enterprise AI automation solutions, today announced a partnership with Tableau, the world's leading analytics platform, to enable Tableau users to leverage the power of dotData's AI Automation Capabilities.

As a result of this partnership, Tableau users will be able to build customized predictive analytics solutions faster and more easily. By combining Tableau's data preparation and visualization capabilities with dotData's augmented insights discovery and predictive modeling capabilities, Tableau users can perform full-cycle predictive analysis from raw data through data preparation and insight discovery through AI-based predictions and actionable dashboards.

"This partnership empowers a new class of citizen data scientists through our low code and no-code platforms and allows users to discover deeper, more diverse, and more predictive insights," said Ryohei Fujimaki, Ph.D., founder and CEO of dotData. "We are very excited about this partnership with Tableau, one of the world's most renowned analytics platforms. This partnership accelerates our vision to democratize augmented and predictive analysis for enterprise through AI automation."

dotData automates the full-cycle AI/ML development process, including data and feature engineering, the most manual and time-consuming step in AI and ML development. dotData's proprietary AI technology automatically discovers hidden and multi-modal insights from relational, transactional, temporal, geo-locational, and text data. Business intelligence and analytics teams can leverage dotData's no-code AI/ML automation solution to make their reporting and dashboards more predictive and actionable. It offers a streamlined integration of automated feature discovery and automated machine learning (AutoML) and allows BI teams to develop full-cycle ML models from raw business data, without wiring code.

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About dotDatadotData pioneered AI-Powered Feature Engineering to accelerate and automate the process of building AI/ML models, to drive higher business value for the enterprise. dotData's automated data science platform accelerates ROI and lowers the total cost of model development by automating the entire data science process that is at the heart of AI/ML. dotData ingests raw business data and uses an AI-based engine to automatically discover meaningful patterns and build ML-ready feature tables from relational, transactional, temporal, geo-locational, and text data. dotData's scalable, flexible platform enables data scientists to discover and evaluate outstanding AI features; and empowers business intelligence professionals to addAI/ML models to their BI stacks and predictive analytics applications quickly and easily. Fortune 500 organizations around the world use dotData to accelerate their ML and AI development to drive higher business value.

dotData has been recognized as a leader by Forrester in the 2019 New Wave for AutoML platforms. dotData has also been recognized as the "best machine learning platform" for 2019 by the AI breakthrough awards; was named a CRN "emerging vendor to watch" in the big data space in 2019 and featured on CRN's 2020 and 2021 Big Data 100 list; and was named to CB Insights' Top 100 AI Startups in 2020. For more information, visit http://www.dotdata.com, and join the conversation on Twitter and LinkedIn.

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View original content:https://www.prnewswire.com/news-releases/dotdata-and-tableau-partner-to-accelerate-augmented-and-predictive-analytics-for-the-business-intelligence-community-301376035.html

SOURCE dotData

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dotData and Tableau Partner to Accelerate Augmented and Predictive Analytics for the Business Intelligence Community - Yahoo Finance

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The UK government has ended Palantir’s NHS data deal. But the fight isn’t over – Open Democracy

The government will also have to earn back trust. The trust deficit is why so few of my neighbours in Brixton, south London, are vaccinated. A lack of trust also caused an uproar over this springs scheme to pool Englands 55 million patient records into a permanent data lake, and to give companies access. Ministers hoped, perhaps, that COVID gave them a political mandate for a data free-for-all, in which companies could be readily let in to play in NHS records. They were wrong. Well over a million people opted out of that scheme, which again after a Foxglove-led coalition threatened legal action has since been kicked into the long grass.

Make no mistake: Palantir is still looking to bid for health contracts in the UK. Anyone concerned about trust in the NHS should join our demand that the firm be kept well away from health care. But the debates to come will be harder. Our government plainly hopes to hop on a tech moguls rocket towards an ever-closer union between Big Tech and the NHS, ripping up critical data protection and procurement laws to get there. Ministers have said they want to open up Englands health data for tech firms to go prospecting for gold in. Whether their standard for public benefit matches yours well, thats a question of trust.

It doesnt have to be this way. Across the NHS, in universities and hospitals, people are forming alternative ideas to an NHS run by and for big tech companies. Broadly, they involve more transparent, locally controlled, public-spirited uses of health data. This will, of course, take a fight. But the public holds more cards than you might think. Its politically very hard to seize peoples health records without their say-so. And when millions opt out of data-sharing, the dataset changes its less useful, and less commercially valuable. If people dont trust the government with the NHS or their health data, three-word slogans like data saves lives wont fill that gap. The millions who have opted out will never opt back in.

A better way is in sight if we demand it. Dont sleep on it you know Palantir wont.

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The UK government has ended Palantir's NHS data deal. But the fight isn't over - Open Democracy

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