Introduces a taxonomy of model, feedback, and prediction uncertainty in sequential decisions and demonstrates that accounting for uneven uncertainty across groups can reduce outcome variance for disadvantaged populations while preserving institutional objectives.
Sutton and Andrew G
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Fairness under uncertainty in sequential decisions
Introduces a taxonomy of model, feedback, and prediction uncertainty in sequential decisions and demonstrates that accounting for uneven uncertainty across groups can reduce outcome variance for disadvantaged populations while preserving institutional objectives.