Back
Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification - researchr publication
webresearchr.org·researchr.org/publication/BuolamwiniG18
Data Status
Not fetched
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| Deep Learning Revolution Era | Historical | 44.0 |
Cached Content Preview
HTTP 200Fetched Feb 22, 20261 KB
Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification - researchr publication researchr explore Tags Journals Conferences Authors Profiles Groups calendar New Conferences Events Deadlines search search You are not signed in Sign in Sign up External Links DOI DBLP Google Google Scholar MSAS Cite Key BuolamwiniG18 Statistics References: 0 Cited by: 0 Reviews: 0 Bibliographies: 0 PDF [Upload PDF for personal use] Researchr Researchr is a web site for finding, collecting, sharing, and reviewing scientific publications, for researchers by researchers. Sign up for an account to create a profile with publication list, tag and review your related work, and share bibliographies with your co-authors. Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification Joy Buolamwini , Timnit Gebru . Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification . In Sorelle A. Friedler , Christo Wilson , editors, Conference on Fairness, Accountability and Transparency, FAT 2018, 23-24 February 2018, New York, NY, USA . Volume 81 of Proceedings of Machine Learning Research , pages 77-91 , PMLR, 2018. [doi] Abstract Authors BibTeX References Bibliographies Reviews Related Abstract Abstract is missing. About Contact Credits Help Web Service API Blog FAQ Feedback runs on Web DSL
Resource ID:
0a7e3d48ddc5a853 | Stable ID: OTRhZGJjNz