A Harm-Reduction Framework for Algorithmic Fairness
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CitationAltman, Micah, Alexandra Wood, and Effy Vayena. 2018. “A Harm-Reduction Framework for Algorithmic Fairness.” IEEE Security & Privacy 16 (3) (May): 34–45. doi:10.1109/msp.2018.2701149.
AbstractIn this article, we recognize the profound effects that algorithmic decision-making can have on people's lives and propose a harm-reduction framework for algorithmic fairness. We argue that any evaluation of algorithmic fairness must consider a counterfactual analysis of the effects that algorithmic design, implementation, and use have on the well-being of individuals.
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