3 papers
cs.AI2026
Towards Shutdownable Agents: Generalizing Stochastic Choice in RL Agents and LLMs
Carissa Cullen, Harry Garland, Alexander Roman +3
Misaligned artificial agents might resist shutdown. One proposed solution is to train agents to lack preferences between different-length trajectories. The Discounted Reward for Sa…
cs.AI2026
Towards Shutdownable Agents via Stochastic Choice
Elliott Thornley, Alexander Roman, Christos Ziakas +2
The POST-Agents Proposal (PAP) is an idea for ensuring that advanced artificial agents never resist shutdown. A key part of the PAP is using a novel `Discounted Reward for Same-Len…
cs.AI2026
Games for AI Control: Models of Safety Evaluations of AI Deployment Protocols
Charlie Griffin, Louis Thomson, Buck Shlegeris +1
To evaluate the safety and usefulness of deployment protocols for untrusted AIs, AI Control uses a red-teaming exercise played between a protocol designer and an adversary. This pa…