A Harm-Reduction Framework for Algorithmic Fairness | Berkman Klein Center
gweber's bookmarks 2018-08-21
Summary:
A Harm-Reduction Framework for Algorithmic Fairness
When algorithms are left to make important decisions, the results can have a profound impact on individuals, argue Berkman Klein Fellow Alex Wood, Faculty Associate Effy Vayena and Micah Altman, the Director of Research at MIT Libraries, in a new report published by IEEE Security & Privacy. After studying foreseeable and unforeseeable harms, the authors propose a harm-reduction framework for making algorithms more fair.