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Bristol researchers say medicine already knows how to handle black boxes and AI could learn from it

Researchers at the University of Bristol want to make medical AI systems safer by borrowing from how drugs get approved. Their "Learning Ensemble" framework defines three areas to check, including system limits, fairness across patient groups, and clinical fit. The goal is to catch models that work technically but can still be dangerously wrong in the clinic.

The article Bristol researchers say medicine already knows how to handle black boxes and AI could learn from it appeared first on The Decoder.

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US and China experts push for shared rules banning AI control over nuclear weapons

Experts from the US and China want to prevent AI systems from making autonomous decisions about deploying nuclear weapons.

The article US and China experts push for shared rules banning AI control over nuclear weapons appeared first on The Decoder.

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Ex-Deepmind VP Vinyals says AI self-improvement is coming but won't trigger an intelligence explosion

Oriol Vinyals, until recently head of research at Google DeepMind, thinks a sudden AI intelligence explosion through recursive self-improvement is unlikely. AI can speed up research by a factor of ten, he says, but it hits two bottlenecks: coming up with ideas ("research taste") and reliably judging results. Reward hacking and the speed of light add further limits. Vinyals now wants to tackle these bottlenecks with his startup Discovery Loop, co-founded with Jeff Dean, Sanjay Ghemawat, and Quoc Le.

The article Ex-Deepmind VP Vinyals says AI self-improvement is coming but won't trigger an intelligence explosion appeared first on The Decoder.

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Google's AI search dropped its emergency-call advice over nationalities but still flags people from Facebook

"Please get to a safe place or call emergency services": That's the advice Google's AI search gave users who typed that they were alone with an African, Indian, or Pakistani.

The article Google's AI search dropped its emergency-call advice over nationalities but still flags people from Facebook appeared first on The Decoder.

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