Gap widens between AI capabilities and safety evidence
SiliconANGLE: The AI control gap: Who gets to say ‘It’s safe’?
We see a control gap between what artificial intelligence can do and what the evidence supports trusting it to do. A great demo doesn’t prove that a system will stay within the limits of an intended deployment’s goals. The question is: Who gets to decide when the evidence is sufficient to declare AI is safe? […] The post The AI control gap: Who gets to say ‘It’s safe’? appeared first on SiliconANGLE.
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There is a gap between what artificial intelligence systems can demonstrate in tests and what evidence actually supports trusting them to do in real-world use. The question of who decides when AI is safe enough to deploy remains unclear, with companies currently able to largely police themselves through voluntary commitments and self-attestation. Safety matters because an independent authority with enforcement power, established through public policy, is needed to require remediation or restrict dangerous AI activities before widespread damage occurs. Current approaches rely on company promises and external audits rather than a formal regulatory regime with mandatory access, compliance conditions, and penalties for noncompliance.
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