72 citations · 136 across the 15 of their papers we have counts for
4 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,…
Multi-Agent Risks from Advanced AI
Lewis Hammond, Alan Chan, Jesse Clifton +41
The rapid development of advanced AI agents and the imminent deployment of many instances of these agents will give rise to multi-agent systems of unprecedented complexity. These s…
The AI Agent Index
Stephen Casper, Luke Bailey, Rosco Hunter +12
Leading AI developers and startups are increasingly deploying agentic AI systems that can plan and execute complex tasks with limited human involvement. However, there is currently…