David Cameron wants social media companies to invent a terrorism-detection algorithm and send all the "bad guys" it detects to the police -- but this will fall prey to the well-known (to statisticians) "paradox of the false positive," producing tens of thousands of false leads that will drown the cops.
And that's just the tip of the iceberg -- the problems implicit in using Kafkaesque algorithms to determine guilt are myriad (and well-explained in this Guardian piece by James Ball).
Data strategist Duncan Ross set out what would happen if someone could create an algorithm that correctly identified a terrorist from their communications 99.9% of the time – far, far more accurate than any real algorithm – with the assumption that there were 100 terrorists in the UK.
The algorithm would correctly identify the 100 terrorists. But it would also misidentify 0.1% of the UK’s non-terrorists as terrorists: that’s a further 60,000 people, leaving the authorities with a still-huge problem on their hands. Given that Facebook is not merely dealing with the UK’s 60 million population, but rather a billion users sending 1.4bn messages, that’s an Everest-sized haystack for security services to trawl.
'You're the bomb!' Are you at risk from the anti-terrorism algorithms? [James Ball/The Guardian]
(Image: Haystacks, John Pavelka, CC-BY)
ICE has done facial recognition searches on millions of photos Maryland drivers without court approval. They appear to be targeting immigrants who sought driver’s licenses after 2013.
AT&T, T-Mobile, Sprint, and Verizon are among the telecommunications carriers facing hundreds of millions of dollars in fines from the Federal Communications Commission after a federal investigation found the companies didn’t do enough to protect the location data of users.
Canada’s privacy authorities on Friday said they are investigating New York-based Clearview AI over concerns the facial recognition technology may not comply with Canadian privacy law.
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