{"id":"https://openalex.org/W4380364048","doi":"https://doi.org/10.1145/3593013.3593974","title":"Fairness in machine learning from the perspective of sociology of statistics","display_name":"Fairness in machine learning from the perspective of sociology of statistics","publication_year":2023,"publication_date":"2023-06-12","ids":{"openalex":"https://openalex.org/W4380364048","doi":"https://doi.org/10.1145/3593013.3593974"},"language":"en","primary_location":{"id":"doi:10.1145/3593013.3593974","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3593013.3593974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 ACM Conference on Fairness, Accountability, and Transparency","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04567390","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102857167","display_name":"Bilel Benbouzid","orcid":"https://orcid.org/0009-0002-0201-5161"},"institutions":[{"id":"https://openalex.org/I4210154111","display_name":"Universit\u00e9 Gustave Eiffel","ror":"https://ror.org/03x42jk29","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210154111"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Bilel Benbouzid","raw_affiliation_strings":["Universit\u00e9 Gustave Eiffel, France"],"raw_orcid":"https://orcid.org/0009-0002-0201-5161","affiliations":[{"raw_affiliation_string":"Universit\u00e9 Gustave Eiffel, France","institution_ids":["https://openalex.org/I4210154111"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102857167"],"corresponding_institution_ids":["https://openalex.org/I4210154111"],"apc_list":null,"apc_paid":null,"fwci":1.5131,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.85477139,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"35","last_page":"43"},"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":0.9988999962806702,"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":0.9988999962806702,"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/T14401","display_name":"Technology, Environment, Urban Planning","score":0.909600019454956,"subfield":{"id":"https://openalex.org/subfields/1211","display_name":"Philosophy"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/situated","display_name":"Situated","score":0.7553079128265381},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.669748842716217},{"id":"https://openalex.org/keywords/objectivity","display_name":"Objectivity (philosophy)","score":0.5954465866088867},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.5926133990287781},{"id":"https://openalex.org/keywords/judgement","display_name":"Judgement","score":0.5600355267524719},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.555353045463562},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.517850935459137},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.5043045282363892},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4902113080024719},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.47456175088882446},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.4258502721786499},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.3969873785972595},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37496480345726013},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3652638792991638},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.33164337277412415},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17047914862632751},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.0950537919998169},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.08646741509437561}],"concepts":[{"id":"https://openalex.org/C132829578","wikidata":"https://www.wikidata.org/wiki/Q581151","display_name":"Situated","level":2,"score":0.7553079128265381},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.669748842716217},{"id":"https://openalex.org/C2482559","wikidata":"https://www.wikidata.org/wiki/Q206330","display_name":"Objectivity (philosophy)","level":2,"score":0.5954465866088867},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.5926133990287781},{"id":"https://openalex.org/C2776548248","wikidata":"https://www.wikidata.org/wiki/Q12621536","display_name":"Judgement","level":2,"score":0.5600355267524719},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.555353045463562},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.517850935459137},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.5043045282363892},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4902113080024719},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.47456175088882446},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.4258502721786499},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.3969873785972595},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37496480345726013},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3652638792991638},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.33164337277412415},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17047914862632751},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0950537919998169},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.08646741509437561},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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":2,"locations":[{"id":"doi:10.1145/3593013.3593974","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3593013.3593974","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 ACM Conference on Fairness, Accountability, and Transparency","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04567390v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04567390","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"FAccT '23: the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023, Chicago IL USA, France. pp.35-43, &#x27E8;10.1145/3593013.3593974&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04567390v1","is_oa":true,"landing_page_url":"https://hal.science/hal-04567390","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"FAccT '23: the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023, Chicago IL USA, France. pp.35-43, &#x27E8;10.1145/3593013.3593974&#x27E9;","raw_type":"Conference papers"},"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G194936337","display_name":null,"funder_award_id":"Projet-ANR-20-CE38-0011","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1525067466","https://openalex.org/W2005261412","https://openalex.org/W2006447892","https://openalex.org/W2084341220","https://openalex.org/W2093548176","https://openalex.org/W2100960835","https://openalex.org/W2130316040","https://openalex.org/W2493941654","https://openalex.org/W2523795217","https://openalex.org/W2764072425","https://openalex.org/W2768894107","https://openalex.org/W2788481061","https://openalex.org/W2897702578","https://openalex.org/W2898970033","https://openalex.org/W2938135854","https://openalex.org/W2950068534","https://openalex.org/W2962922665","https://openalex.org/W2998753473","https://openalex.org/W3003162384","https://openalex.org/W3013969094","https://openalex.org/W3093329511","https://openalex.org/W3103677873","https://openalex.org/W3146083582","https://openalex.org/W3157172840","https://openalex.org/W3158349484","https://openalex.org/W3176768410","https://openalex.org/W3181414820","https://openalex.org/W3207830467","https://openalex.org/W4205667414","https://openalex.org/W4214720563","https://openalex.org/W4220760463","https://openalex.org/W4237060095","https://openalex.org/W4243562145","https://openalex.org/W4280595958","https://openalex.org/W4281822735","https://openalex.org/W4281932651","https://openalex.org/W4282969450","https://openalex.org/W4288617757","https://openalex.org/W4288995270","https://openalex.org/W4294351233","https://openalex.org/W4298446982","https://openalex.org/W4312663109","https://openalex.org/W6631386766","https://openalex.org/W6728551298","https://openalex.org/W6752075343","https://openalex.org/W6958957384"],"related_works":["https://openalex.org/W1600697036","https://openalex.org/W1601337804","https://openalex.org/W4392983437","https://openalex.org/W2035858348","https://openalex.org/W2155106162","https://openalex.org/W2010047220","https://openalex.org/W2004235806","https://openalex.org/W2152083270","https://openalex.org/W2552595315","https://openalex.org/W2004000661"],"abstract_inverted_index":{"We":[0,90,110],"argue":[1],"in":[2],"this":[3],"article":[4],"that":[5,140],"the":[6,20,57,82,95,106,117,161,164],"integration":[7],"of":[8,19,22,35,59,70,87,97,102,122,148,163],"fairness":[9,130],"into":[10],"machine":[11,125,165],"learning,":[12,126],"or":[13],"FairML,":[14],"is":[15,153],"a":[16,100,145,156,175],"valuable":[17],"exemplar":[18],"politics":[21,36],"statistics":[23],"and":[24,66,77,104,119,132,136],"their":[25,38,133],"ongoing":[26],"transformations.":[27],"Classically,":[28],"statisticians":[29],"sought":[30],"to":[31,124,170],"eliminate":[32],"any":[33],"trace":[34],"from":[37,160],"measurement":[39],"tools.":[40],"But":[41],"data":[42],"scientists":[43],"who":[44],"are":[45,53],"developing":[46],"predictive":[47],"machines":[48],"for":[49,73,79],"social":[50,120],"applications":[51],"\u2013":[52,166],"inevitably":[54],"confronted":[55],"with":[56],"problem":[58],"fairness.":[60],"They":[61],"thus":[62],"face":[63],"two":[64],"difficult":[65],"often":[67],"distinct":[68],"types":[69],"demands:":[71],"first,":[72],"reliable":[74],"computational":[75],"techniques,":[76],"second,":[78],"transparency,":[80],"given":[81],"constructed,":[83],"politically":[84,172],"situated":[85,173],"nature":[86],"quantification":[88],"operations.":[89],"begin":[91],"by":[92],"socially":[93],"localizing":[94],"formation":[96],"FairML":[98,141],"as":[99,174],"field":[101],"research":[103],"describing":[105],"associated":[107],"epistemological":[108],"framework.":[109],"then":[111],"examine":[112],"how":[113],"researchers":[114],"simultaneously":[115],"think":[116],"mathematical":[118],"construction":[121],"approaches":[123,142],"following":[127],"controversies":[128],"around":[129],"metrics":[131],"status.":[134],"Thirdly":[135],"finally,":[137],"we":[138],"show":[139],"tend":[143],"towards":[144],"specific":[146],"form":[147],"objectivity,":[149],"\u201ctrained":[150],"judgement,\u201d":[151],"which":[152,167],"based":[154],"on":[155],"reasonably":[157],"partial":[158],"justification":[159],"designer":[162],"itself":[168],"comes":[169],"be":[171],"result.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
