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""The abhorrent racist abuse directed at England players last night has absolutely no place on Twitter," the social network said on Monday morning. A Facebook spokesperson said similarly: "No one should have to experience racist abuse anywhere, and we don't want it on Instagram." But the statements bore little relation to the experience of the company's users. On Instagram, where thousands left comments on the pages of Marcus Rashford, Bukayo Saka and Jadon Sancho, supportive users who tried to flag abuse to the platform were surprised by the response."

"The world's biggest social networks say racism isn't welcome on their platforms, but a combination of poor enforcement and weak rules have allowed hate to flourish."

"O'Neill recounts an exercise to improve service to homeless families in New York City, in which data-analysis was used to identify risk-factors for long-term homelessness. The problem, O'Neill describes, was that many of the factors in the existing data on homelessness were entangled with things like race (and its proxies, like ZIP codes, which map extensively to race in heavily segregated cities like New York). Using data that reflects racism in the system to train a machine-learning algorithm whose conclusions can't be readily understood runs the risk of embedding that racism in a new set of policies, these ones scrubbed clean of the appearance of bias with the application of objective-seeming mathematics. "

""I consider 'bias' a euphemism," says Brandeis Marshall, PhD, data scientist and CEO of DataedX, an edtech and data science firm. "The words that are used are varied: There's fairness, there's responsibility, there's algorithmic bias, there's a number of terms… but really, it's dancing around the real topic… A dataset is inherently entrenched in systemic racism and sexism.""

"Algorithms and the data that drive them are designed and created by people, which means those systems can carry biases based on who builds them and how they're ultimately deployed. Safiya Umoja Noble, author of Algorithms of Oppression: How Search Engines Reinforce Racism, offers a curated reading list exploring how technology can replicate and reinforce racist and sexist beliefs, how that bias can affect everything from health outcomes to financial credit to criminal justice, and why data discrimination is a major 21st century challenge."

"Microsoft's decision to replace human journalists with robots has backfired, after the tech company's artificial intelligence software illustrated a news story about racism with a photo of the wrong mixed-race member of the band Little Mix."

"But by far the most immediate danger is the role that AI data analysis and generation plays in spreading disinformation and extremism on social media. This technology powers bots and amplification algorithms. These have played a direct role in fomenting conflict in many countries. They are helping to intensify racism, conspiracy theories, political extremism and a plethora of violent, irrationalist movements."

"A simple Google image search highlighted on Twitter has been said to highlight the pervasiveness of racial bias and media profiling. "Three black teenagers" was a trending search on Google on Thursday after a US high school student pointed out the stark difference in results for "three black teenagers" and "three white teenagers"."

"Rekognition indicated high confidence that 28 members of the current Congress were known arrestees. It was wrong in every case. The false positives disproportionately targeted racialized members of Congress. This, finally, has Congress's attention: members of Congress have sent some pointed questions to Amazon about its Rekognition tool and given them a deadline of Aug 20 to respond. They've also requested an immediate meeting with Jeff Bezos to discuss the topic in depth."

"The battle over algorithms in healthcare has come into full view since last fall. The debate only intensified in the wake of the coronavirus pandemic, which has disproportionately devastated Black and Latino communities. In October, Science published a study that found one hospital unintentionally directed more white patients than Black patients to a high-risk care management program because it used an algorithm to predict the patients' future healthcare costs as a key indicator of personal health. Optum, the company that sells the software product, told Mashable that the hospital used the tool incorrectly. "

"But users began to spot flaws in the feature over the weekend. The first to highlight the issue was PhD student Colin Madland, who discovered the issue while highlighting a different racial bias in the video-conference software Zoom. When Madland, who is white, posted an image of himself and a black colleague who had been erased from a Zoom call after its algorithm failed to recognise his face, Twitter automatically cropped the image to only show Madland."

"If the NBA really cares about player and fan safety and racial justice, it is time that they ban facial recognition from their events and arenas. Facial recognition companies are forcefully marketing their racially biased products as false solutions to COVID-19-the NBA cannot buy these lies."

"The brochure also advertised "Optional Demographic Profiling Facial analysis algorithms", including "gender, race/ethnicity, age" profiling. A second, Italian-based, company was also cited on Hikvision's website as offering racial profiling. The company removed both claims from its website following an inquiry from the Guardian, and said the technology had never been sold in the UK. The document, it said, detailed the "potential application of our cameras, with technology built independently by FaiceTech and other partners"."

"Sadiq Khan has received a wave of social media abuse, some of it racist, after newspapers incorrectly that reported he might block a new statue of the Queen, days after the London mayor warned that some media outlets were "monetising" hatred."

"Rite Aid facial recognition misidentified Black, Latino and Asian people as 'likely' shoplifters Surveillance systems incorrectly and without customer consent marked shoppers as 'persons of interest', an FTC settlement says Johana Bhuiyan and agencies Wed 20 Dec 2023 14.29 EST Last modified on Thu 21 Dec 2023 12.04 EST Rite Aid used facial recognition systems to identify shoppers that were previously deemed "likely to engage" in shoplifting without customer consent and misidentified people - particularly women and Black, Latino or Asian people - on "numerous" occasions, according to a new settlement with the Federal Trade Commission. As part of the settlement, Rite Aid has been forbidden from deploying facial recognition technology in its stores for five years."

"Google has put a temporary block on its new artificial intelligence model producing images of people after it portrayed German second world war soldiers and Vikings as people of colour. The tech company said it would stop its Gemini model generating images of people after social media users posted examples of images generated by the tool that depicted some historical figures - including popes and the founding fathers of the US - in a variety of ethnicities and genders."