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"You're nailing the problem: the tech sales people and the politicians are all on the same drug, which is "This tech is perfect", because it's cheaper than more police. There's a lawsuit in the US because a black man was wrongly arrested based on facial recognition. Tech companies need to be held to account. One company we focused on, Clearview AI, scraped social networks - collected images of people's faces and data from publicly available information - to create its software. Facial recognition relies on artificial intelligence. It needs to study faces. And only the government - the DVLA etc - and social networking companies have access to a lot of faces."

"Twitter stands a 50% chance of a major outage that could take the site offline during the World Cup, according to a recently departed employee with knowledge of how the company responds to large-scale events. The former employee, who was granted anonymity because of the sensitivity of what was discussed, has knowledge of the workings of Twitter Command Centre, the platform's team of troubleshooters who monitor the site for issues such as traffic spikes and data centre outages."

"As Redditor actual_hacker said in a thread, the big point of this article: "The US has built a SIM-card kill list. They're shooting missiles at cell phones without caring about who is holding the phone. That is why so many innocent people keep getting killed. That is what this story is about. The next time someone says "it's just metadata," remember this story. Innocent people die because of NSA's use of metadata: the story cites 14 women and 21 children killed in just one operation. All because of metadata.""

"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."

"Yet in 2020, Byland had to find out secondhand that the company had abandoned the technology and was on the verge of going bankrupt. While his two-implant system is still working, he doesn't know how long that will be the case. "As long as nothing goes wrong, I'm fine," he says. "But if something does go wrong with it, well, I'm screwed. Because there's no way of getting it fixed.""

"Much of west and central Africa has been left without internet service, as operators of several subsea cables reported failures. The cause of the cable failures on Thursday was not immediately clear. The African subsea cable operator Seacom confirmed that services on its west African cable system were down and that customers who relied on that cable were being redirected to the Google Equiano cable, which Seacom uses."

"One of the key features introduced is a "Correction" capability in Azure AI Content Safety. This tool aims to address the problem of AI hallucinations - instances where AI models generate false or misleading information. "When we detect there's a mismatch between the grounding context and the response… we give that information back to the AI system," Bird explained. "With that additional information, it's usually able to do better the second try.""

"But what is pitched as a more convenient way of looking up information online has prompted scrutiny over how and where these chatbots select the information they provide. Looking into the sort of evidence that large language models (LLMs, the engines on which chatbots are built) find most convincing, three computer science researchers from the University of California, Berkeley, found current chatbots overrely on the superficial relevance of information. They tend to prioritise text that includes pertinent technical language or is stuffed with related keywords, while ignoring other features we would usually use to assess trustworthiness, such as the inclusion of scientific references or objective language free of personal bias."

"A recent incident at a company has led to the dismissal of half its HR team after a manager discovered a significant flaw in the applicant tracking system (ATS) used for hiring. This system, intended to improve the recruitment process, was automatically rejecting all job candidates, including the manager's own application."

" 'Serious concerns' about DWP's use of AI to read correspondence from benefit claimants White mail system handles 'highly sensitive personal data' and people not told it is processing their information AI prototypes for UK welfare system dropped as officials lament 'false starts' Robert Booth UK technology editor Mon 27 Jan 2025 05.00 GMT Share When your mailbag brims with 25,000 letters and emails every day, deciding which to answer first is daunting. When lurking within are pleas for help from some of the country's most vulnerable people, the stakes only get higher. That is the challenge facing the Department for Work and Pensions (DWP) as correspondence floods in from benefit applicants and claimants - of which there are more than 20 million, including pensioners, in the UK. The DWP thinks it may have found a solution in using artificial intelligence to read it all first - including handwritten missives. Human reading used to take weeks and could leave the most vulnerable people waiting for too long for help. But "white mail" is an AI that can do the same work in a day and supposedly prioritise the most vulnerable cases for officials to get to first."

"Generative AI chatbots fail to adequately reflect fossil fuel companies' complicity in the climate crisis, a Global Witness investigation has found"

"Numerous players criticized the AI technology, mostly for making incorrect calls, leading to them losing points. Notably, British tennis star Emma Raducanu called out the technology for missing a ball that her opponent hit out, but instead had to be played as if it were in. On a television replay, the ball indeed looked out, The Telegraph reported.  Jack Draper, the British No. 1, also said he felt some line calls were wrong, saying he did not think the AI technology was "100 percent accurate.""