dc.contributor.author | Suresh, Harini | |
dc.contributor.author | Guttag, John | |
dc.date.accessioned | 2022-06-29T15:13:18Z | |
dc.date.available | 2022-06-29T15:13:18Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/143588 | |
dc.language.iso | en | |
dc.publisher | ACM | en_US |
dc.relation.isversionof | 10.1145/3465416.3483305 | en_US |
dc.rights | Creative Commons Attribution NonCommercial License 4.0 | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | en_US |
dc.source | ACM | en_US |
dc.title | A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Suresh, 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.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | |
dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
dc.relation.journal | Equity and Access in Algorithms, Mechanisms, and Optimization | en_US |
dc.eprint.version | Final published version | en_US |
dc.type.uri | http://purl.org/eprint/type/ConferencePaper | en_US |
eprint.status | http://purl.org/eprint/status/NonPeerReviewed | en_US |
dc.date.updated | 2022-06-29T15:06:38Z | |
dspace.orderedauthors | Suresh, H; Guttag, J | en_US |
dspace.date.submission | 2022-06-29T15:06:39Z | |
mit.license | PUBLISHER_CC | |
mit.metadata.status | Authority Work and Publication Information Needed | en_US |