Bergemann, Koh & Morris Propose Mechanism Design Framework for AI Alignment and Control
daveholtz · x · 2026-09-03
A new arXiv paper develops a mechanism design framework for AI agents with unknown alignment and capabilities. A one-sided imitation structure (capabilities can be concealed but not counterfeited) yields a revelation principle, with applications to sandbagging, alignment–interpretability trade-offs, peer prediction, and scalable oversight.
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