dc.contributor.author | Balagopalan, Aparna | |
dc.contributor.author | Zhang, Haoran | |
dc.contributor.author | Hamidieh, Kimia | |
dc.contributor.author | Hartvigsen, Thomas | |
dc.contributor.author | Rudzicz, Frank | |
dc.contributor.author | Ghassemi, Marzyeh | |
dc.date.accessioned | 2022-11-03T17:39:47Z | |
dc.date.available | 2022-11-03T17:39:47Z | |
dc.date.issued | 2022-06-21 | |
dc.identifier.isbn | 978-1-4503-9352-2 | |
dc.identifier.uri | https://hdl.handle.net/1721.1/146127 | |
dc.publisher | ACM|2022 ACM Conference on Fairness, Accountability, and Transparency | en_US |
dc.relation.isversionof | https://doi.org/10.1145/3531146.3533179 | en_US |
dc.rights | Creative Commons Attribution 4.0 International license | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
dc.source | ACM|2022 ACM Conference on Fairness, Accountability, and Transparency | en_US |
dc.title | The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations | en_US |
dc.type | Article | en_US |
dc.identifier.citation | Balagopalan, Aparna, Zhang, Haoran, Hamidieh, Kimia, Hartvigsen, Thomas, Rudzicz, Frank et al. 2022. "The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations." | |
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.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 | 2022-11-03T07:45:10Z | |
dc.language.rfc3066 | en | |
dc.rights.holder | The author(s) | |
dspace.date.submission | 2022-11-03T07:45:10Z | |
mit.license | PUBLISHER_CC | |
mit.metadata.status | Authority Work and Publication Information Needed | en_US |