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Algorithmic Assistance with Recommendation-Dependent Preferences
When an algorithm provides risk assessments, we typically think of them as helpful inputs to human decisions, such as when risk scores are presented to judges or doctors.
On the Fairness of Machine-Assisted Human Decisions
In this article, we therefore consider in a formal model and in a lab experiment how properties of machine predictions affect the resulting human decisions.
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