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NIST study finds facial recognition algorithms struggle to identify masked faces | Priv... - 0 views

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    "A preliminary study finds that facial recognition algorithms struggle to identify people wearing masks. The study tested 89 commercial facial recognition algorithms, and the best had error rates between 5% and 50% in matching unmasked photos with photos of the same person wearing a digitally-applied mask. Masks both lowered the algorithms' accuracy rates and raised the number of failures to process. The more of the nose is covered by the mask the lower the algorithm's accuracy; however, error rates were generally lower with round masks; and the algorithms generally performed worse with black masks than with surgical blue ones. False positive remained stable or declined a small amount."
dr tech

AI expert calls for end to UK use of 'racially biased' algorithms | Technology | The Gu... - 0 views

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    "On inbuilt bias in algorithms, Sharkey said: "There are so many biases happening now, from job interviews to welfare to determining who should get bail and who should go to jail. It is quite clear that we really have to stop using decision algorithms, and I am someone who has always been very light on regulation and always believed that it stifles innovation."
dr tech

This AI algorithm could save lives in quake zones | Digital Trends - 0 views

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    "It forecast 14 earthquakes within a 200-mile area of the estimated epicenter and also made a very accurate forecast regarding their intensity, a report on the university's website said. It failed to warn of just one earthquake and gave eight false predictions. The research team trained the AI to detect statistical bumps in real-time seismic data that the research team had paired with previous earthquakes, the report explained. Once trained, the AI monitored for signs of approaching earthquakes. "Predicting earthquakes is the holy grail," said Sergey Fomel, a professor at UT's Bureau of Economic Geology and a member of the research team, adding: "What we achieved tells us that what we thought was an impossible problem is solvable in principle.""
dr tech

The ACLU showed that Amazon's facial recognition system thinks members of Congress are ... - 0 views

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    "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."
dr tech

Police trial AI software to help process mobile phone evidence | UK news | The Guardian - 0 views

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    "Cellebrite, the Israeli-founded and now Japanese-owned company behind some of the software, claims a wider rollout would solve problems over failures to disclose crucial digital evidence that have led to the collapse of a series of rape trials and other prosecutions in the past year. However, the move by police has prompted concerns over privacy and the potential for software to introduce bias into processing of criminal evidence."
dr tech

Amazon's Facial Recognition Misidentified 1 in 5 California Lawmakers as Criminals - VICE - 0 views

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    "In a recent test of Amazon's facial recognition software, the American Civil Liberties Union of Northern California revealed that it mistook 26 California lawmakers as people arrested for crimes. "
dr tech

Teaching Self-Driving Cars to Watch for Unpredictable Humans - 0 views

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    "Game players-like drivers-often have to reach conclusions without full understanding of what the other players-or drivers-are doing. So more researchers are applying game theory to train self-driving cars how to act in uncertain situations."
dr tech

'I was misidentified as shoplifter by facial recognition tech' - 0 views

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    "Sara needed some chocolate - she had had one of those days - so wandered into a Home Bargains store. "Within less than a minute, I'm approached by a store worker who comes up to me and says, 'You're a thief, you need to leave the store'." Sara - who wants to remain anonymous - was wrongly accused after being flagged by a facial-recognition system called Facewatch."
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