{"id":"https://openalex.org/W2939675332","doi":"https://doi.org/10.1109/vast47406.2019.8986948","title":"FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning","display_name":"FAIRVIS: Visual Analytics for Discovering Intersectional Bias in Machine Learning","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2939675332","doi":"https://doi.org/10.1109/vast47406.2019.8986948","mag":"2939675332"},"language":"en","primary_location":{"id":"doi:10.1109/vast47406.2019.8986948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast47406.2019.8986948","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Conference on Visual Analytics Science and Technology (VAST)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1904.05419.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060162507","display_name":"\u00c1ngel Alexander Cabrera","orcid":"https://orcid.org/0000-0003-0348-3362"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"\u00c1ngel Alexander Cabrera","raw_affiliation_strings":["Georgia Institute of Technology","#N#\u2021#N#Georgia Institute of Technology#N#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"#N#\u2021#N#Georgia Institute of Technology#N#","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041694845","display_name":"Will Epperson","orcid":"https://orcid.org/0000-0002-2745-4315"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Will Epperson","raw_affiliation_strings":["Georgia Institute of Technology","#N#\u2021#N#Georgia Institute of Technology#N#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"#N#\u2021#N#Georgia Institute of Technology#N#","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034842879","display_name":"Fred Hohman","orcid":null},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fred Hohman","raw_affiliation_strings":["Georgia Institute of Technology","#N#\u2021#N#Georgia Institute of Technology#N#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"#N#\u2021#N#Georgia Institute of Technology#N#","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042350842","display_name":"Minsuk Kahng","orcid":"https://orcid.org/0000-0002-0291-6026"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minsuk Kahng","raw_affiliation_strings":["Georgia Institute of Technology","#N#\u2021#N#Georgia Institute of Technology#N#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"#N#\u2021#N#Georgia Institute of Technology#N#","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045592180","display_name":"Jamie Morgenstern","orcid":"https://orcid.org/0000-0003-3753-8405"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jamie Morgenstern","raw_affiliation_strings":["Georgia Institute of Technology","#N#\u2021#N#Georgia Institute of Technology#N#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"#N#\u2021#N#Georgia Institute of Technology#N#","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020153026","display_name":"Duen Horng Chau","orcid":"https://orcid.org/0000-0001-9824-3323"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Duen Horng Chau","raw_affiliation_strings":["Georgia Institute of Technology","#N#\u2021#N#Georgia Institute of Technology#N#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"#N#\u2021#N#Georgia Institute of Technology#N#","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":3.0018,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.93746205,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"46","last_page":"56"},"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":0.9954000115394592,"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":0.9954000115394592,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.98580002784729,"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/T14393","display_name":"Health, Environment, Cognitive Aging","score":0.9054999947547913,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7404955625534058},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.6928671002388},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6053409576416016},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5858482718467712},{"id":"https://openalex.org/keywords/audit","display_name":"Audit","score":0.5405889749526978},{"id":"https://openalex.org/keywords/recidivism","display_name":"Recidivism","score":0.5203651785850525},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5194958448410034},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5169603228569031},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5153273940086365},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.47814714908599854},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3318367898464203},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15558722615242004}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7404955625534058},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.6928671002388},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6053409576416016},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5858482718467712},{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.5405889749526978},{"id":"https://openalex.org/C2776090404","wikidata":"https://www.wikidata.org/wiki/Q1420643","display_name":"Recidivism","level":2,"score":0.5203651785850525},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5194958448410034},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5169603228569031},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5153273940086365},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.47814714908599854},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3318367898464203},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15558722615242004},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C73484699","wikidata":"https://www.wikidata.org/wiki/Q161733","display_name":"Criminology","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/vast47406.2019.8986948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vast47406.2019.8986948","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Conference on Visual Analytics Science and Technology (VAST)","raw_type":"proceedings-article"},{"id":"mag:2939675332","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1904.05419.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:smartech.gatech.edu:1853/63827","is_oa":false,"landing_page_url":"http://hdl.handle.net/1853/63827","pdf_url":null,"source":{"id":"https://openalex.org/S4377196313","display_name":"SMARTech Repository (Georgia Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130701444","host_organization_name":"Georgia Institute of Technology","host_organization_lineage":["https://openalex.org/I130701444"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Undergraduate Thesis"},{"id":"doi:10.48550/arxiv.1904.05419","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1904.05419","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"mag:2939675332","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1904.05419.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},"sustainable_development_goals":[{"display_name":"No poverty","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1819662813","https://openalex.org/W1977556410","https://openalex.org/W2006533296","https://openalex.org/W2030246490","https://openalex.org/W2073459066","https://openalex.org/W2137406659","https://openalex.org/W2162670686","https://openalex.org/W2165254944","https://openalex.org/W2170584976","https://openalex.org/W2440722286","https://openalex.org/W2512274390","https://openalex.org/W2524301210","https://openalex.org/W2530395818","https://openalex.org/W2607223307","https://openalex.org/W2753845591","https://openalex.org/W2786242872","https://openalex.org/W2788481061","https://openalex.org/W2884061367","https://openalex.org/W2915268314","https://openalex.org/W2949135123","https://openalex.org/W2962751370","https://openalex.org/W2962922665","https://openalex.org/W2963123635","https://openalex.org/W2963125461","https://openalex.org/W2963214037","https://openalex.org/W2963290659","https://openalex.org/W2963470891","https://openalex.org/W2963795072","https://openalex.org/W2964023221","https://openalex.org/W2964031043","https://openalex.org/W3099361686","https://openalex.org/W3120740533","https://openalex.org/W3122175177","https://openalex.org/W3123374861","https://openalex.org/W3125947019","https://openalex.org/W4288359825","https://openalex.org/W6644682428","https://openalex.org/W6658418283","https://openalex.org/W6668990524","https://openalex.org/W6675359311","https://openalex.org/W6684072790","https://openalex.org/W6728551298","https://openalex.org/W6744110554","https://openalex.org/W6746225964","https://openalex.org/W6748382702","https://openalex.org/W6765858885"],"related_works":["https://openalex.org/W3006437051","https://openalex.org/W3022636294","https://openalex.org/W3187072827","https://openalex.org/W2963795072","https://openalex.org/W3043937498","https://openalex.org/W1486762633","https://openalex.org/W3114612190","https://openalex.org/W3201294522","https://openalex.org/W3009227448","https://openalex.org/W2059671791","https://openalex.org/W3192353503","https://openalex.org/W2994972352","https://openalex.org/W3009842998","https://openalex.org/W2904216139","https://openalex.org/W2222842558","https://openalex.org/W2595494611","https://openalex.org/W2911523146","https://openalex.org/W2779839449","https://openalex.org/W2789341774","https://openalex.org/W2264913502"],"abstract_inverted_index":{"The":[0],"growing":[1],"capability":[2],"and":[3,17,35,66,108,112,115,131,157,180,185],"accessibility":[4],"of":[5,64,70,95,128,138],"machine":[6,50,96,169],"learning":[7,51,97],"has":[8,53],"led":[9],"to":[10,13,60,91,106,123,146,165],"its":[11],"application":[12],"many":[14],"real-world":[15],"domains":[16],"data":[18,178],"about":[19],"people.":[20],"Despite":[21],"the":[22,61,67,93,181],"benefits":[23],"algorithmic":[24,189],"systems":[25],"may":[26,176],"bring,":[27],"models":[28],"can":[29,102],"reflect,":[30],"inject,":[31],"or":[32],"exacerbate":[33],"implicit":[34],"explicit":[36],"societal":[37],"biases":[38,48,148],"into":[39,135],"their":[40],"outputs,":[41],"disadvantaging":[42],"certain":[43],"demographic":[44],"subgroups.":[45,73,117,140],"Discovering":[46],"which":[47],"a":[49,56,77,84,125,160],"model":[52],"introduced":[54],"is":[55],"great":[57],"challenge,":[58],"due":[59],"numerous":[62],"definitions":[63],"fairness":[65,94],"large":[68],"number":[69],"potentially":[71],"impacted":[72],"We":[74,141],"present":[75],"FAIRVIS,":[76,100],"mixed-initiative":[78],"visual":[79,161],"analytics":[80,162],"system":[81,163],"that":[82],"integrates":[83],"novel":[85],"subgroup":[86,129],"discovery":[87],"technique":[88],"for":[89],"users":[90,101,122],"audit":[92],"models.":[98],"Through":[99],"apply":[103],"domain":[104],"knowledge":[105],"generate":[107],"investigate":[109],"known":[110],"subgroups,":[111],"explore":[113,124],"suggested":[114],"similar":[116],"FAIRVIS's":[118],"coordinated":[119],"views":[120],"enable":[121],"high-level":[126],"overview":[127],"performance":[130],"subsequently":[132],"drill":[133],"down":[134],"detailed":[136],"investigation":[137],"specific":[139],"show":[142],"how":[143,173],"FAIRVIS":[144,171],"helps":[145],"discover":[147],"in":[149,154,168],"two":[150],"real":[151],"datasets":[152],"used":[153],"predicting":[155],"income":[156],"recidivism.":[158],"As":[159],"devoted":[164],"discovering":[166],"bias":[167],"learning,":[170],"demonstrates":[172],"interactive":[174],"visualization":[175],"help":[177],"scientists":[179],"general":[182],"public":[183],"understand":[184],"create":[186],"more":[187],"equitable":[188],"systems.":[190]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
