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cs.CY2025
Dark Speculation: Combining Qualitative and Quantitative Understanding in Frontier AI Risk Analysis
Daniel Carpenter, Carson Ezell, Pratyush Mallick +1
Estimating catastrophic harms from frontier AI is hindered by deep ambiguity: many of its risks are not only unobserved but unanticipated by analysts. The central limitation of cur…
cs.CY2024
An FDA for AI? Pitfalls and Plausibility of Approval Regulation for Frontier Artificial Intelligence
Daniel Carpenter, Carson Ezell
Observers and practitioners of artificial intelligence (AI) have proposed an FDA-style licensing regime for the most advanced AI models, or 'frontier' models. In this paper, we exp…