{"id":"https://openalex.org/W4386242544","doi":"https://doi.org/10.1145/3600211.3604705","title":"Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness","display_name":"Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness","publication_year":2023,"publication_date":"2023-08-08","ids":{"openalex":"https://openalex.org/W4386242544","doi":"https://doi.org/10.1145/3600211.3604705"},"language":"en","primary_location":{"id":"doi:10.1145/3600211.3604705","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3600211.3604705","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3600211.3604705","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society","raw_type":"proceedings-article"},"type":"review","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3600211.3604705","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064234845","display_name":"Anaelia Ovalle","orcid":"https://orcid.org/0000-0002-0531-7520"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anaelia Ovalle","raw_affiliation_strings":["Computer Science, University of California, Los Angeles, USA"],"raw_orcid":"https://orcid.org/0000-0002-0531-7520","affiliations":[{"raw_affiliation_string":"Computer Science, University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080655454","display_name":"Arjun Subramonian","orcid":"https://orcid.org/0000-0002-0415-3800"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arjun Subramonian","raw_affiliation_strings":["Computer Science, University of California, Los Angeles, USA"],"raw_orcid":"https://orcid.org/0000-0002-0415-3800","affiliations":[{"raw_affiliation_string":"Computer Science, University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013587924","display_name":"Vagrant Gautam","orcid":"https://orcid.org/0000-0002-7263-8578"},"institutions":[{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Vagrant Gautam","raw_affiliation_strings":["Computer Science, Saarland University, Germany"],"raw_orcid":"https://orcid.org/0000-0002-7263-8578","affiliations":[{"raw_affiliation_string":"Computer Science, Saarland University, Germany","institution_ids":["https://openalex.org/I91712215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065070616","display_name":"Gilbert C. Gee","orcid":"https://orcid.org/0000-0002-1716-9465"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gilbert Gee","raw_affiliation_strings":["Community Health Sciences, University of California, Los Angeles, USA"],"raw_orcid":"https://orcid.org/0000-0002-1716-9465","affiliations":[{"raw_affiliation_string":"Community Health Sciences, University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087096372","display_name":"Kai-Wei Chang","orcid":"https://orcid.org/0000-0001-5365-0072"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kai-Wei Chang","raw_affiliation_strings":["Computer Science, University of California, Los Angeles, USA"],"raw_orcid":"https://orcid.org/0000-0001-5365-0072","affiliations":[{"raw_affiliation_string":"Computer Science, University of California, Los Angeles, USA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5064234845"],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":9.0785,"has_fulltext":true,"cited_by_count":36,"citation_normalized_percentile":{"value":0.98248813,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"496","last_page":"511"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9836000204086304,"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":0.9836000204086304,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/intersectionality","display_name":"Intersectionality","score":0.9355723857879639},{"id":"https://openalex.org/keywords/operationalization","display_name":"Operationalization","score":0.824099600315094},{"id":"https://openalex.org/keywords/praxis","display_name":"Praxis","score":0.7414588928222656},{"id":"https://openalex.org/keywords/conceptualization","display_name":"Conceptualization","score":0.6520090103149414},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.5819584131240845},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.46190911531448364},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.45488572120666504},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3945000469684601},{"id":"https://openalex.org/keywords/gender-studies","display_name":"Gender studies","score":0.18285804986953735},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10139861702919006}],"concepts":[{"id":"https://openalex.org/C2780001913","wikidata":"https://www.wikidata.org/wiki/Q1516555","display_name":"Intersectionality","level":2,"score":0.9355723857879639},{"id":"https://openalex.org/C9354725","wikidata":"https://www.wikidata.org/wiki/Q286017","display_name":"Operationalization","level":2,"score":0.824099600315094},{"id":"https://openalex.org/C2777122596","wikidata":"https://www.wikidata.org/wiki/Q1247560","display_name":"Praxis","level":2,"score":0.7414588928222656},{"id":"https://openalex.org/C90734943","wikidata":"https://www.wikidata.org/wiki/Q17008777","display_name":"Conceptualization","level":2,"score":0.6520090103149414},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.5819584131240845},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.46190911531448364},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.45488572120666504},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3945000469684601},{"id":"https://openalex.org/C107993555","wikidata":"https://www.wikidata.org/wiki/Q1662673","display_name":"Gender studies","level":1,"score":0.18285804986953735},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10139861702919006},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3600211.3604705","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3600211.3604705","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3600211.3604705","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3600211.3604705","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3600211.3604705","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3600211.3604705","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.8199999928474426,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386242544.pdf","grobid_xml":"https://content.openalex.org/works/W4386242544.grobid-xml"},"referenced_works_count":55,"referenced_works":["https://openalex.org/W567698580","https://openalex.org/W1819662813","https://openalex.org/W2002213000","https://openalex.org/W2025934421","https://openalex.org/W2096217225","https://openalex.org/W2105142709","https://openalex.org/W2145382344","https://openalex.org/W2148974647","https://openalex.org/W2170160497","https://openalex.org/W2337002970","https://openalex.org/W2530058011","https://openalex.org/W2553037213","https://openalex.org/W2587890271","https://openalex.org/W2610364475","https://openalex.org/W2763766763","https://openalex.org/W2790634852","https://openalex.org/W2801341947","https://openalex.org/W2889169527","https://openalex.org/W2897702578","https://openalex.org/W3001128645","https://openalex.org/W3025400320","https://openalex.org/W3041968715","https://openalex.org/W3083405350","https://openalex.org/W3105226597","https://openalex.org/W3121336520","https://openalex.org/W3132771424","https://openalex.org/W3133953502","https://openalex.org/W3134822068","https://openalex.org/W3134889244","https://openalex.org/W3158026859","https://openalex.org/W3158363482","https://openalex.org/W3165211483","https://openalex.org/W3175645012","https://openalex.org/W3184865800","https://openalex.org/W3192394615","https://openalex.org/W3193892552","https://openalex.org/W3213207627","https://openalex.org/W4210550871","https://openalex.org/W4230414599","https://openalex.org/W4241857777","https://openalex.org/W4246004479","https://openalex.org/W4250532311","https://openalex.org/W4253763531","https://openalex.org/W4280595958","https://openalex.org/W4283164474","https://openalex.org/W4283166422","https://openalex.org/W4283170908","https://openalex.org/W4285163830","https://openalex.org/W4285581715","https://openalex.org/W4287890645","https://openalex.org/W4376320677","https://openalex.org/W4393268635","https://openalex.org/W6606392145","https://openalex.org/W6638208828","https://openalex.org/W6681940545"],"related_works":["https://openalex.org/W2263871505","https://openalex.org/W4249267101","https://openalex.org/W1990194743","https://openalex.org/W2372732631","https://openalex.org/W2247065183","https://openalex.org/W4231164885","https://openalex.org/W3174824175","https://openalex.org/W2076800099","https://openalex.org/W3173944179","https://openalex.org/W2346106508"],"abstract_inverted_index":{"Intersectionality":[0],"is":[1,40,53],"a":[2,47],"critical":[3,48,136],"framework":[4,39],"that,":[5],"through":[6,18],"inquiry":[7,137],"and":[8,22,65,78,85,112,128,138,140],"praxis,":[9,139],"allows":[10],"us":[11],"to":[12,42,96,107,149],"examine":[13],"how":[14,51,69],"social":[15,110],"inequalities":[16],"persist":[17],"domains":[19],"of":[20,29,50,87,132],"structure":[21],"discipline.":[23],"Given":[24],"AI":[25,60,75,123,146,160],"fairness\u2019":[26],"raison":[27],"d\u2019\u00eatre":[28],"\u201cfairness,\u201d":[30],"we":[31,63],"argue":[32],"that":[33,91],"adopting":[34],"intersectionality":[35,52,70,95,152],"as":[36],"an":[37],"analytical":[38],"pivotal":[41],"effectively":[43],"operationalizing":[44],"fairness.":[45],"Through":[46],"review":[49],"discussed":[54],"in":[55,153,159],"30":[56],"papers":[57],"from":[58],"the":[59,74,83,122,130],"fairness":[61,76,99,147],"literature,":[62],"deductively":[64],"inductively:":[66],"1)":[67],"map":[68],"tenets":[71],"operate":[72],"within":[73,121],"paradigm":[77],"2)":[79],"uncover":[80],"gaps":[81,134],"between":[82],"conceptualization":[84],"operationalization":[86],"intersectionality.":[88],"We":[89],"find":[90],"researchers":[92,148],"overwhelmingly":[93],"reduce":[94],"optimizing":[97],"for":[98,135,145],"metrics":[100],"over":[101],"demographic":[102],"subgroups.":[103],"They":[104],"also":[105],"fail":[106],"discuss":[108],"their":[109,154],"context":[111],"when":[113],"mentioning":[114],"power,":[115],"they":[116],"mostly":[117],"situate":[118],"it":[119,158],"only":[120],"pipeline.":[124],"We:":[125],"3)":[126],"outline":[127],"assess":[129],"implications":[131],"these":[133],"4)":[141],"provide":[142],"actionable":[143],"recommendations":[144],"engage":[150],"with":[151],"work":[155],"by":[156],"grounding":[157],"epistemology.":[161]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
