10 citations · 16 across the 4 of their papers we have counts for
3 papers · 1 filter
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…
Incident Analysis for AI Agents
Carson Ezell, Xavier Roberts-Gaal, Alan Chan
As AI agents become more widely deployed, we are likely to see an increasing number of incidents: events involving AI agent use that directly or indirectly cause harm. For example,…
How Do AI Companies "Fine-Tune" Policy? Examining Regulatory Capture in AI Governance
Kevin Wei, Carson Ezell, Nick Gabrieli +1
Industry actors in the United States have gained extensive influence in conversations about the regulation of general-purpose artificial intelligence (AI) systems. Although industr…