dc.contributor.author | King, Jennifer | |
dc.contributor.author | Ho, Daniel | |
dc.contributor.author | Gupta, Arushi | |
dc.contributor.author | Wu, Victor | |
dc.contributor.author | Webley-Brown, Helen | |
dc.date.accessioned | 2023-07-10T15:47:38Z | |
dc.date.available | 2023-07-10T15:47:38Z | |
dc.date.issued | 2023-06-12 | |
dc.identifier.isbn | 979-8-4007-0192-4 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/151052 | |
dc.publisher | ACM|2023 ACM Conference on Fairness, Accountability, and Transparency | en_US |
dc.relation.isversionof | https://doi.org/10.1145/3593013.3594015 | en_US |
dc.rights | Creative Commons Attribution-Noncommercial-NoDerivatives | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_US |
dc.source | Association for Computing Machinery | en_US |
dc.title | The Privacy-Bias Tradeoff: Data Minimization and Racial Disparity Assessments in U.S. Government | en_US |
dc.type | Article | en_US |
dc.identifier.citation | King, Jennifer, Ho, Daniel, Gupta, Arushi, Wu, Victor and Webley-Brown, Helen. 2023. "The Privacy-Bias Tradeoff: Data Minimization and Racial Disparity Assessments in U.S. Government." | |
dc.contributor.department | Massachusetts Institute of Technology. Department of Political Science | |
dc.identifier.mitlicense | PUBLISHER_CC | |
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 | 2023-07-01T08:00:57Z | |
dc.language.rfc3066 | en | |
dc.rights.holder | The author(s) | |
dspace.date.submission | 2023-07-01T08:00:57Z | |
mit.license | PUBLISHER_CC | |
mit.metadata.status | Authority Work and Publication Information Needed | en_US |