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Detection and Mitigation of Algorithmic Bias in Predictive Models of Suicide Risk

This project will assess the potential impact of algorithmic bias on the allocation of preventive care for suicide and compare the performance of methods designed to mitigate algorithmic bias.

Investigator: Papini, Santiago

Funder: Section Pilot Grants

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