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Reliability of AI Agents: Rater Effects, Drift, and the Return to an Evaluation Program
Firms increasingly evaluate deployed AI agents using repeated human ratings, yet observed score changes may reflect the measurement process as much as changes in the agent itself. Firms also rarely know how long an evaluation remains informative as deployed systems evolve. We study reliability as a
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