{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T19:06:57Z","timestamp":1767035217267,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":20,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,7,25]],"date-time":"2019-07-25T00:00:00Z","timestamp":1564012800000},"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":[[2019,7,25]]},"DOI":"10.1145\/3292500.3332280","type":"proceedings-article","created":{"date-parts":[[2019,7,26]],"date-time":"2019-07-26T13:17:26Z","timestamp":1564147046000},"page":"3205-3206","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Fairness-Aware Machine Learning"],"prefix":"10.1145","author":[{"given":"Sarah","family":"Bird","sequence":"first","affiliation":[{"name":"Microsoft, New York, NY, USA"}]},{"given":"Ben","family":"Hutchinson","sequence":"additional","affiliation":[{"name":"Google, San Francisco, CA, USA"}]},{"given":"Krishnaram","family":"Kenthapadi","sequence":"additional","affiliation":[{"name":"LinkedIn, Sunnyvale, CA, USA"}]},{"given":"Emre","family":"Kiciman","sequence":"additional","affiliation":[{"name":"Microsoft, Redmond, WA, USA"}]},{"given":"Margaret","family":"Mitchell","sequence":"additional","affiliation":[{"name":"Google, Kirkland, WA, USA"}]}],"member":"320","published-online":{"date-parts":[[2019,7,25]]},"reference":[{"volume-title":"ProPublica","year":"2016","author":"Angwin J.","key":"e_1_3_2_2_1_1"},{"volume-title":"NIPS Tutorial","year":"2017","author":"Barocas S.","key":"e_1_3_2_2_2_1"},{"volume-title":"Semantics derived automatically from language corpora contain human-like biases. Science, 356(6334)","year":"2017","author":"Caliskan A.","key":"e_1_3_2_2_3_1"},{"volume-title":"ICALP","year":"2018","author":"Celis L. E.","key":"e_1_3_2_2_4_1"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098095"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2090236.2090255"},{"volume-title":"On the (im) possibility of fairness. arXiv:1609.07236","year":"2016","author":"Friedler S. A.","key":"e_1_3_2_2_7_1"},{"volume-title":"A comparative study of fairness-enhancing interventions in machine learning. arXiv:1802.04422","year":"2018","author":"Friedler S. A.","key":"e_1_3_2_2_8_1"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/230538.230561"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330691"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2945386"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-014-0346-1"},{"volume-title":"NIPS","year":"2016","author":"Hardt M.","key":"e_1_3_2_2_13_1"},{"volume-title":"ICML","year":"2017","author":"Jabbari S.","key":"e_1_3_2_2_14_1"},{"volume-title":"ITCS","year":"2017","author":"Kleinberg J.","key":"e_1_3_2_2_15_1"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401959"},{"volume-title":"COLT","year":"2017","author":"Woodworth B.","key":"e_1_3_2_2_17_1"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052660"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132938"},{"volume-title":"ICML","year":"2013","author":"Zemel R.","key":"e_1_3_2_2_20_1"}],"event":{"name":"KDD '19: The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"],"location":"Anchorage AK USA","acronym":"KDD '19"},"container-title":["Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3292500.3332280","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3292500.3332280","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:25:56Z","timestamp":1750206356000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3292500.3332280"}},"subtitle":["Practical Challenges and Lessons Learned"],"short-title":[],"issued":{"date-parts":[[2019,7,25]]},"references-count":20,"alternative-id":["10.1145\/3292500.3332280","10.1145\/3292500"],"URL":"https:\/\/doi.org\/10.1145\/3292500.3332280","relation":{},"subject":[],"published":{"date-parts":[[2019,7,25]]},"assertion":[{"value":"2019-07-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}