Do the Ends Justify the Means? Variation in the Distributive and Procedural Fairness of Machine Learning Algorithms

Do the Ends Justify the Means? Variation in the Distributive and Procedural Fairness of Machine Learning Algorithms

Abstract Recent advances in machine learning methods have created opportunities to eliminate unfairness from algorithmic decision making. Multiple computational techniques (i.e., algorithmic fairness criteria) have arisen out of this work. Yet, urgent questions remain about the percei...

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Bibliographic Details
Main Authors: Morse, Lily, Teodorescu, Mike H. M., Awwad, Yazeed, Kane, Gerald C.
Other Authors: Massachusetts Institute of Technology. Media Laboratory
Format: Article
Language:English
Published: Springer Netherlands 2022
Online Access:https://hdl.handle.net/1721.1/146834

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