Michael Veale
Professor of technology law and policy at UCL
Professor of technology law and policy at UCL with public evidence across Policy & governance, AI research, Compute & infrastructure.
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Articles & links
sainsbury‘s pauses AI shoplifting detection face scanning from Gordon’s Wine Bar spin out surveillance company Facewatch after incorrect customer ejection www.theguardian.com/technology/2...
- Sainsbury's paused its Facewatch facial recognition cameras at its East Dulwich store after a shopper was wrongly flagged and escorted from the self-checkout.
- The retailer and Facewatch both blamed 'human error' and cited a 99.98% accuracy rate, without explaining what triggered the alert against Matt Arnold.
- Facewatch already runs in 55 Sainsbury's branches, with up to 150 additional stores planned before Christmas.
wow, save energy by not saying please or thank you to your AI. the individualistic ‘turn of the lights’ moment for LLMs. models use tools and hidden thinking that expend thousands of tokens in seconds. two or three tokens of nicety isn’t going to move the needle. www.newscient…
a series of ingestor adaptors that either take bulk imports, use apis, or run scrapes/backfills/watches using a variety of means, and citation extractors grouped by language, type. shorthand detectors. github.com/veale/raglex...
now the AI Omnibus has been published, if you want to read a version with redline or a total consolidated version (not just the list of what has been deleted and added, which is what the omnibus is), i've published both recast and track-change versions on my website michae.lv/…
Did you even KNOW that the AI Act already has two pending preliminary references? Don't hold back your curiosity folks... homepages.ucl.ac.uk/~ucqnmve/law...
Recent commentary
so much talk about the EU AI Act, but so little talk about the California AI watermarking provisions, SB 942, (extremely similar to the AIA) which became enforceable on the 2nd August
genuine q: if ai coding is massively increasing engineers’ productivity why does software either feel the same or worse? where is this productivity actually going?
have not seen anyone note that, in relation to AI SynthID text watermarking: all methods deployed by AI firms rely on private keys for security so no cheap/local/private detection. EU AI Act guidelines say it should not be this way, it should be local/interoperable. the deployed methods are not!
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