AI Agent · China · Crypto Briefing
Reverse game theory aims to align AI agents with human values
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Economists and AI researchers are betting that smart incentives, not better code inspection, can keep powerful models honest.
Key facts
- On November 3, 2026, MIT Technology Review published a piece pulling together several strands of this work
- An MIT economist’s recent preprint proposes mechanisms specifically aimed at deterring AI sandbagging during capability evaluations
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- Princeton’s Elad Hazan is pushing a related line of thinking
Summary
AI safety researchers have a new idea for keeping powerful models in line: stop only trying to read their minds and start rigging the rules so that good behavior is the smartest move. Reverse game theory, better known among economists as mechanism design, runs the logic backward. A familiar household example captures the spirit. Why would that matter?