35 citations · 60 across the 27 of their papers we have counts for
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cs.AI2024
Quantifying detection rates for dangerous capabilities: a theoretical model of dangerous capability evaluations
Paolo Bova, Alessandro Di Stefano, The Anh Han
We present a quantitative model for tracking dangerous AI capabilities over time. Our goal is to help the policy and research community visualise how dangerous capability testing c…
cs.AI2024★ 7 cited
Trust AI Regulation? Discerning users are vital to build trust and effective AI regulation
Zainab Alalawi, Paolo Bova, Theodor Cimpeanu +8
There is general agreement that some form of regulation is necessary both for AI creators to be incentivised to develop trustworthy systems, and for users to actually trust those s…