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)
The FTC and the Justice Department are investigating claims that TikTok, the popular social media app with close ties to China, violated a 2019 agreement to protect children’s privacy.
New data privacy law took effect in January, with a six-month grace period
The United States Internal Revenue Service says it purchased access to a marketing database that offers location data for millions of US cellphones, so the IRS can identify and track persons suspected of tax-related crimes.
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