1 citations · 1 across the 2 of their papers we have counts for
2 papers
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★ 1 cited
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…