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The COWCORPUS project, a study of 4,200 human-AI interactions, found that agents predicting their own failures and intervention moments are more useful than those simply trying to avoid errors. Researchers identified four stable trust patterns in human-AI collaboration and developed the Perfect Timing Score (PTS) to measure intervention prediction accuracy.