{"id":"https://openalex.org/W2966833090","doi":"https://doi.org/10.1145/3292500.3332280","title":"Fairness-Aware Machine Learning","display_name":"Fairness-Aware Machine Learning","publication_year":2019,"publication_date":"2019-07-25","ids":{"openalex":"https://openalex.org/W2966833090","doi":"https://doi.org/10.1145/3292500.3332280","mag":"2966833090"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3292500.3332280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008351642","display_name":"Sarah Bird","orcid":"https://orcid.org/0000-0002-5469-5149"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"funder","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sarah Bird","raw_affiliation_strings":["Microsoft, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, New York, NY, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071599724","display_name":"Ben Hutchinson","orcid":"https://orcid.org/0000-0003-2253-6204"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"funder","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ben Hutchinson","raw_affiliation_strings":["Google, San Francisco, CA, USA"],"affiliations":[{"raw_affiliation_string":"Google, San Francisco, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002843568","display_name":"Krishnaram Kenthapadi","orcid":"https://orcid.org/0000-0003-1237-087X"},"institutions":[{"id":"https://openalex.org/I1316064682","display_name":"LinkedIn (United States)","ror":"https://ror.org/02fyxhe35","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I1316064682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Krishnaram Kenthapadi","raw_affiliation_strings":["LinkedIn, Sunnyvale, CA, USA"],"affiliations":[{"raw_affiliation_string":"LinkedIn, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I1316064682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112594439","display_name":"Emre K\u0131c\u0131man","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"funder","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emre Kiciman","raw_affiliation_strings":["Microsoft, Redmond, WA, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046235098","display_name":"Margaret Mitchell","orcid":"https://orcid.org/0000-0001-7043-6545"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"funder","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Margaret Mitchell","raw_affiliation_strings":["Google, Kirkland, WA, USA"],"affiliations":[{"raw_affiliation_string":"Google, Kirkland, WA, USA","institution_ids":["https://openalex.org/I1291425158"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.665,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":8,"citation_normalized_percentile":{"value":0.793846,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":83,"max":84},"biblio":{"volume":null,"issue":null,"first_page":"3205","last_page":"3206"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9995,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9995,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9807,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9534,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/open-research","display_name":"Open research","score":0.4369336}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7584764},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.61990327},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.60266143},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.56626403},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4555768},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.45413834},{"id":"https://openalex.org/C2778464652","wikidata":"https://www.wikidata.org/wiki/Q309849","display_name":"Open research","level":2,"score":0.4369336},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.331372},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.16583213},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1160008},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.101615995},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/3292500.3332280","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, justice, and strong institutions","score":0.51,"id":"https://metadata.un.org/sdg/16"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":12,"referenced_works":["https://openalex.org/W1987663912","https://openalex.org/W2006447892","https://openalex.org/W2026019770","https://openalex.org/W2100960835","https://openalex.org/W2507358938","https://openalex.org/W2540757487","https://openalex.org/W2584805976","https://openalex.org/W2704480242","https://openalex.org/W2950173087","https://openalex.org/W3102092462","https://openalex.org/W3103891807","https://openalex.org/W4289258088"],"related_works":["https://openalex.org/W2948169060","https://openalex.org/W2810752900","https://openalex.org/W2785900585","https://openalex.org/W2609066826","https://openalex.org/W2490303674","https://openalex.org/W2402761219","https://openalex.org/W2365677836","https://openalex.org/W2353730437","https://openalex.org/W2140798747","https://openalex.org/W2012531322"],"abstract_inverted_index":{"Researchers":[0],"and":[1,10,21,24,62,68,70,109,114,136,154],"practitioners":[2],"from":[3,139],"different":[4,112,140],"disciplines":[5],"have":[6],"highlighted":[7],"the":[8,15,25,58,63,84,122,158],"ethical":[9],"legal":[11],"challenges":[12,156],"posed":[13],"by":[14,131],"use":[16],"of":[17,50,72,124],"machine":[18,78,105,126,162],"learned":[19],"models":[20,108],"data-driven":[22],"systems,":[23],"potential":[26],"for":[27,74,86,111,157],"such":[28],"systems":[29,110],"to":[30,37,46,93],"discriminate":[31],"against":[32],"certain":[33],"population":[34],"groups,":[35],"due":[36],"biases":[38],"in":[39,77,129,147],"algorithmic":[40,51,95],"decision-making":[41],"systems.":[42,80],"This":[43],"tutorial":[44],"aims":[45],"present":[47],"an":[48,101],"overview":[49],"bias":[52,96],"/":[53,97,161],"discrimination":[54],"issues":[55],"observed":[56],"over":[57],"last":[59],"few":[60],"years":[61],"lessons":[64],"learned,":[65],"key":[66],"regulations":[67],"laws,":[69],"evolution":[71],"techniques":[73,128],"achieving":[75],"fairness":[76,98],"learning":[79,106,127,163],"We":[81],"will":[82,119,150],"motivate":[83],"need":[85],"adopting":[87],"a":[88],"\"fairness-first\"":[89],"approach":[90],"(as":[91],"opposed":[92],"viewing":[94],"considerations":[99],"as":[100],"afterthought),":[102],"when":[103],"developing":[104],"based":[107],"consumer":[113],"enterprise":[115],"applications.":[116],"Then,":[117],"we":[118,149],"focus":[120],"on":[121,144],"application":[123],"fairness-aware":[125],"practice,":[130],"highlighting":[132],"industry":[133],"best":[134],"practices":[135],"case":[137],"studies":[138],"technology":[141],"companies.":[142],"Based":[143],"our":[145],"experiences":[146],"industry,":[148],"identify":[151],"open":[152],"problems":[153],"research":[155],"data":[159],"mining":[160],"community.":[164]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2966833090","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-04-16T12:02:34.120188","created_date":"2019-08-13"}