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Ethical algorithm design

Ethical algorithm design In this letter, we summarize the research agenda that we survey in our recent book The Ethical Algorithm, which is intended for a general, nontechnical audience. At a high level, this research agenda proposes formalizing the ethical and social values that we want our algorithms to maintain --- values including privacy, fairness, and explainability --- and then to embed these social values directly into our algorithms as part of their design. This broad research area is most mature in the area of privacy, specifically differential privacy. It is off to a good start in emerging areas like algorithmic fairness, and seems promising for more nebulous goals like explainability, if only we can find the right definitions. Most work in this area to date analyzes algorithms as isolated components, but game-theoretic and economic analysis will become increasingly important as we try and study the effects of algorithmic interventions in larger sociotechnical systems. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png ACM SIGecom Exchanges Association for Computing Machinery

Ethical algorithm design

ACM SIGecom Exchanges , Volume 18 (1): 6 – Dec 2, 2020

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Publisher
Association for Computing Machinery
Copyright
Copyright © 2020 Copyright is held by the owner/author(s)
ISSN
1551-9031
eISSN
1551-9031
DOI
10.1145/3440959.3440966
Publisher site
See Article on Publisher Site

Abstract

In this letter, we summarize the research agenda that we survey in our recent book The Ethical Algorithm, which is intended for a general, nontechnical audience. At a high level, this research agenda proposes formalizing the ethical and social values that we want our algorithms to maintain --- values including privacy, fairness, and explainability --- and then to embed these social values directly into our algorithms as part of their design. This broad research area is most mature in the area of privacy, specifically differential privacy. It is off to a good start in emerging areas like algorithmic fairness, and seems promising for more nebulous goals like explainability, if only we can find the right definitions. Most work in this area to date analyzes algorithms as isolated components, but game-theoretic and economic analysis will become increasingly important as we try and study the effects of algorithmic interventions in larger sociotechnical systems.

Journal

ACM SIGecom ExchangesAssociation for Computing Machinery

Published: Dec 2, 2020

Keywords: explainability

References