{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:48:40Z","timestamp":1750308520833,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,8,8]],"date-time":"2023-08-08T00:00:00Z","timestamp":1691452800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,8,8]]},"DOI":"10.1145\/3600211.3604752","type":"proceedings-article","created":{"date-parts":[[2023,8,29]],"date-time":"2023-08-29T18:41:37Z","timestamp":1693334497000},"page":"1006-1007","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Evaluation of targeted dataset collection on racial equity in face recognition"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-4275-653X","authenticated-orcid":false,"given":"Rachel","family":"Hong","sequence":"first","affiliation":[{"name":"University of Washington, USA"}]}],"member":"320","published-online":{"date-parts":[[2023,8,29]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Active Sampling for Min-Max Fairness. In International Conference on Machine Learning. PMLR, PMLR, Online, 53\u201365","author":"Abernethy D","year":"2022","unstructured":"Jacob\u00a0D Abernethy, Pranjal Awasthi, Matth\u00e4us Kleindessner, Jamie Morgenstern, Chris Russell, and Jie Zhang. 2022. Active Sampling for Min-Max Fairness. In International Conference on Machine Learning. PMLR, PMLR, Online, 53\u201365."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/MTAS.2004.1273467"},{"key":"e_1_3_2_1_3_1","volume-title":"Proceedings of the 2018 ACM Conference on Fairness, Accountability, and Transparency. PMLR, ACM","author":"Buolamwini Joy","year":"2018","unstructured":"Joy Buolamwini and Timnit Gebru. 2018. Gender shades: Intersectional accuracy disparities in commercial gender classification. In Proceedings of the 2018 ACM Conference on Fairness, Accountability, and Transparency. PMLR, ACM, New York, NY, USA, 77\u201391."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00020"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00138-020-01123-z"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00458"},{"key":"e_1_3_2_1_7_1","volume-title":"Conference on Causal Learning and Reasoning. PMLR, 336\u2013351","author":"Idrissi Badr\u00a0Youbi","year":"2022","unstructured":"Badr\u00a0Youbi Idrissi, Martin Arjovsky, Mohammad Pezeshki, and David Lopez-Paz. 2022. Simple data balancing achieves competitive worst-group-accuracy. In Conference on Causal Learning and Reasoning. PMLR, 336\u2013351."},{"volume-title":"Handbook of face recognition. Vol.\u00a01","author":"Jain K","key":"e_1_3_2_1_8_1","unstructured":"Anil\u00a0K Jain and Stan\u00a0Z Li. 2011. Handbook of face recognition. Vol.\u00a01. Springer, New York, NY, USA."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.713"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3457607"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patter.2021.100336"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3306618.3314244"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00008"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00934"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00078"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00541"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46478-7_31"}],"event":{"name":"AIES '23: AAAI\/ACM Conference on AI, Ethics, and Society","sponsor":["SIGAI ACM Special Interest Group on Artificial Intelligence"],"location":"Montr\u00e9al QC Canada","acronym":"AIES '23"},"container-title":["Proceedings of the 2023 AAAI\/ACM Conference on AI, Ethics, and Society"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3600211.3604752","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3600211.3604752","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T18:55:31Z","timestamp":1750272931000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3600211.3604752"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,8]]},"references-count":17,"alternative-id":["10.1145\/3600211.3604752","10.1145\/3600211"],"URL":"https:\/\/doi.org\/10.1145\/3600211.3604752","relation":{},"subject":[],"published":{"date-parts":[[2023,8,8]]},"assertion":[{"value":"2023-08-29","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}