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Humans make better decisions when AI selectively reveals information, but only if the AI learns *when* to reveal it, outperforming both full disclosure and no disclosure.
A coordinated attack by just 1% of users can degrade recommendation quality by 20% in risk-controlling recommender systems, even with simple, algorithm-agnostic strategies.