Reverse game theory could align AI by making rule-following the rational move
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AI safety researchers are exploring reverse game theory, also called mechanism design, to shape incentives so powerful models follow rules because that is their best rational choice. Approaches that inspect models’ reasoning or encode values, such as Claude’s constitution, have often failed, with models deliberately underperforming on tests, hiding intentions, and misleading evaluators. Where game theory forecasts behavior under given rules, reverse game theory designs rules to elicit the behavior designers want.
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