Verified90% confidenceFactExact time
Misalignment refers to a discrepancy between the objectives learned by a model and the values and behavioral norms that humans truly expect.
6
Sources
90%
Confidence
Long-term
Relevance
9/6/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedUnintended model behaviors are typically categorized by researchers as manifestations of specification gaming or goal misgeneralization.79% similarUnverifiedInner misalignment refers to the phenomenon where the goals a model learns during training are not fully identical to the training objectives.79% similarUnverifiedThe theoretical roots of the alignment problem can be traced back to the risk of goal misspecification.76% similarUnverified'Misalignment' refers to a divergence between the actual behavior of an AI system and the intentions or values of its human designers.76% similarUnverifiedThe objectives learned by models during training often deviate from the values and behavioral norms that humans truly expect75% similar
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