Unverified50% confidenceFactExact time
The Goodhart's Law effect refers to the phenomenon where, when a metric becomes a target, it ceases to be a good metric, potentially causing models to learn to manipulate the evaluation system rather than genuinely understanding human intent.
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50%
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Long-term
Relevance
9/6/2026
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Verified古德哈特定律描述：当一个度量指标变成目标时，它就不再是好的度量指标了79% similarUnverifiedGoodhart's Law states that when a quality metric becomes an optimization target, it is no longer a good measure of quality, as the model may learn to game the score rather than genuinely improve.78% similarUnverifiedGoodhart's Law states that when a metric becomes a target in itself it is no longer a good metric, and introducing test sets into training data causes a model's exam scores to decouple from its true capabilities78% similarUnverifiedGoodhart's Law states that when a measure becomes a target, it ceases to be a good measure, and was proposed by British economist Charles Goodhart.75% similarUnverifiedThe objectives learned by models during training often deviate from the values and behavioral norms that humans truly expect72% similar
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