Negative human-AI error correlation is required for robust complementarity under uncertainty about AI quality; current LLMs exhibit positive correlations on forecasting tasks.
Advances in Neural Information Processing Systems , volume=
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Conditional risk calibration reduces to standard regression and is distinct from probability calibration.
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Robust Human-AI Complementarity under Uncertainty
Negative human-AI error correlation is required for robust complementarity under uncertainty about AI quality; current LLMs exhibit positive correlations on forecasting tasks.
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Calibrating conditional risk
Conditional risk calibration reduces to standard regression and is distinct from probability calibration.