{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T00:23:01Z","timestamp":1781223781472,"version":"3.54.1"},"reference-count":32,"publisher":"Association for Computing Machinery (ACM)","issue":"1","license":[{"start":{"date-parts":[[2020,12,2]],"date-time":"2020-12-02T00:00:00Z","timestamp":1606867200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGecom Exch."],"published-print":{"date-parts":[[2020,12,2]]},"abstract":"<jats:p>\n            In this letter, we summarize the research agenda that we survey in our recent book\n            <jats:italic>The Ethical Algorithm<\/jats:italic>\n            , which is intended for a general, nontechnical audience. At a high level, this research agenda proposes\n            <jats:italic>formalizing<\/jats:italic>\n            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\n            <jats:italic>differential privacy<\/jats:italic>\n            . 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.\n          <\/jats:p>","DOI":"10.1145\/3440959.3440966","type":"journal-article","created":{"date-parts":[[2020,12,2]],"date-time":"2020-12-02T23:58:00Z","timestamp":1606953480000},"page":"31-36","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":18,"title":["Ethical algorithm design"],"prefix":"10.1145","volume":"18","author":[{"given":"Michael","family":"Kearns","sequence":"first","affiliation":[{"name":"University of Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aaron","family":"Roth","sequence":"additional","affiliation":[{"name":"University of Pennsylvania"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,12,2]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"Angwin J. Larson J. Mattu S. and Kirchner L. 2016. Machine bias. Propublica.  Angwin J. Larson J. Mattu S. and Kirchner L. 2016. Machine bias. Propublica."},{"key":"e_1_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Benjamin R. 2019. Race after technology: Abolitionist tools for the new jim code. John Wiley & Sons.  Benjamin R. 2019. Race after technology: Abolitionist tools for the new jim code. John Wiley & Sons.","DOI":"10.1093\/sf\/soz162"},{"key":"e_1_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Berk R. Heidari H. Jabbari S. Kearns M. and Roth A. 2018. Fairness in criminal justice risk assessments: The state of the art. Sociological Methods & Research 0049124118782533.  Berk R. Heidari H. Jabbari S. Kearns M. and Roth A. 2018. Fairness in criminal justice risk assessments: The state of the art. Sociological Methods & Research 0049124118782533.","DOI":"10.1177\/0049124118782533"},{"key":"e_1_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Chouldechova A. 2017. 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