3 papers
cs.AI2026
When can we trust untrusted monitoring? A safety case sketch across collusion strategies
Nelson Gardner-Challis, Jonathan Bostock, Georgiy Kozhevnikov +4
AIs are increasingly being deployed with greater autonomy and capabilities, which increases the risk that a misaligned AI may be able to cause catastrophic harm. Untrusted monitori…
cs.CR2025
Practical challenges of control monitoring in frontier AI deployments
David Lindner, Charlie Griffin, Tomek Korbak +4
Automated control monitors could play an important role in overseeing highly capable AI agents that we do not fully trust. Prior work has explored control monitoring in simplified…
cs.LG2025
Async Control: Stress-testing Asynchronous Control Measures for LLM Agents
Asa Cooper Stickland, Jan Michelfeit, Arathi Mani +6
LLM-based software engineering agents are increasingly used in real-world development tasks, often with access to sensitive data or security-critical codebases. Such agents could i…