Understanding Annotator Safety Policy with Interpretability
AI safety policies are crucial but annotator disagreements complicate their application. This paper introduces Annotator Policy Models (APMs) to interpret annotators' internal safety policies from their labeling behavior, making their reasoning transparent without extra effort. APMs accurately model policies, predict responses, and highlight policy differences.
AI safety policies are crucial but annotator disagreements complicate their application. This paper introduces Annotator Policy Models (APMs) to interpret annotators' internal safety policies from their labeling behavior, making their reasoning transparent without extra effort. APMs accurately model policies, predict responses, and highlight policy differences.
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