1 citations · 1 across the 6 of their papers we have counts for
3 papers · 1 filter
BashArena: A Control Setting for Highly Privileged AI Agents
Adam Kaufman, James Lucassen, Tyler Tracy +2
Future AI agents might run autonomously with elevated privileges. If these agents are misaligned, they might abuse these privileges to cause serious damage. The field of AI control…
Combining Cost-Constrained Runtime Monitors for AI Safety
Tim Tian Hua, James Baskerville, Henri Lemoine +3
Monitoring AIs at runtime can help us detect and stop harmful actions. In this paper, we study how to efficiently combine multiple runtime monitors into a single monitoring protoco…
Ctrl-Z: Controlling AI Agents via Resampling
Aryan Bhatt, Cody Rushing, Adam Kaufman +5
Control evaluations measure whether monitoring and security protocols for AI systems prevent intentionally subversive AI models from causing harm. Our work presents the first contr…