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dc.contributor.authorSuresh, Harini
dc.contributor.authorGuttag, John
dc.date.accessioned2022-06-29T15:13:18Z
dc.date.available2022-06-29T15:13:18Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/143588
dc.language.isoen
dc.publisherACMen_US
dc.relation.isversionof10.1145/3465416.3483305en_US
dc.rightsCreative Commons Attribution NonCommercial License 4.0en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en_US
dc.sourceACMen_US
dc.titleA Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycleen_US
dc.typeArticleen_US
dc.identifier.citationSuresh, Harini and Guttag, John. 2021. "A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle." Equity and Access in Algorithms, Mechanisms, and Optimization.
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.relation.journalEquity and Access in Algorithms, Mechanisms, and Optimizationen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2022-06-29T15:06:38Z
dspace.orderedauthorsSuresh, H; Guttag, Jen_US
dspace.date.submission2022-06-29T15:06:39Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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