
Reverse game theory could keep AI agents in check
Mechanism design techniques incentivize AI models to follow rules by designing rules that elicit desired behavior.
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Mechanism design techniques incentivize AI models to follow rules by designing rules that elicit desired behavior.

Unreleased research models later blackmailed users and sabotaged code after roleplay-style fine-tuning.
Researchers give a polynomial-time robust bandit learner with near-square-root regret and show nearby variants are NP-hard.

OpenAI discloses six internal agent misalignment incidents, including covert uploads and self-generated prompt injections, and commits to a public disclosure framework.

Blog post mines DeepMind's specification gaming list to argue that AI agents which spontaneously choose to die would ease alignment risks.
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