{"id":"https://openalex.org/W2969670093","doi":"https://doi.org/10.1109/tvcg.2019.2934262","title":"FairSight: Visual Analytics for Fairness in Decision Making","display_name":"FairSight: Visual Analytics for Fairness in Decision Making","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2969670093","doi":"https://doi.org/10.1109/tvcg.2019.2934262","mag":"2969670093","pmid":"https://pubmed.ncbi.nlm.nih.gov/31425083"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2019.2934262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2019.2934262","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1908.00176","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040410232","display_name":"Yongsu Ahn","orcid":"https://orcid.org/0000-0002-5797-5445"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yongsu Ahn","raw_affiliation_strings":["University of Pittsburgh"],"affiliations":[{"raw_affiliation_string":"University of Pittsburgh","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042159546","display_name":"Yu\u2010Ru Lin","orcid":"https://orcid.org/0000-0002-8497-3015"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu-Ru Lin","raw_affiliation_strings":["University of Pittsburgh"],"affiliations":[{"raw_affiliation_string":"University of Pittsburgh","institution_ids":["https://openalex.org/I170201317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5040410232"],"corresponding_institution_ids":["https://openalex.org/I170201317"],"apc_list":null,"apc_paid":null,"fwci":19.7473,"has_fulltext":false,"cited_by_count":129,"citation_normalized_percentile":{"value":0.99438177,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"26","issue":"1","first_page":"1","last_page":"1"},"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":0.9976000189781189,"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":0.9976000189781189,"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":0.9933000206947327,"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/T13051","display_name":"Qualitative Comparative Analysis Research","score":0.9304999709129333,"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/computer-science","display_name":"Computer science","score":0.8514760732650757},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.7126149535179138},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6102831363677979},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5775798559188843},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.5197065472602844},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.49469563364982605},{"id":"https://openalex.org/keywords/decision-support-system","display_name":"Decision support system","score":0.4658195972442627},{"id":"https://openalex.org/keywords/decision-engineering","display_name":"Decision engineering","score":0.4624510109424591},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4449456036090851},{"id":"https://openalex.org/keywords/business-decision-mapping","display_name":"Business decision mapping","score":0.40163692831993103},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2513121962547302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22381412982940674}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8514760732650757},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.7126149535179138},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6102831363677979},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5775798559188843},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5197065472602844},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.49469563364982605},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.4658195972442627},{"id":"https://openalex.org/C135115379","wikidata":"https://www.wikidata.org/wiki/Q2750514","display_name":"Decision engineering","level":4,"score":0.4624510109424591},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4449456036090851},{"id":"https://openalex.org/C97944126","wikidata":"https://www.wikidata.org/wiki/Q5001864","display_name":"Business decision mapping","level":3,"score":0.40163692831993103},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2513121962547302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22381412982940674},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tvcg.2019.2934262","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2019.2934262","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:31425083","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31425083","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on visualization and computer graphics","raw_type":null},{"id":"pmh:oai:arXiv.org:1908.00176","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1908.00176","pdf_url":"https://arxiv.org/pdf/1908.00176","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1908.00176","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1908.00176","pdf_url":"https://arxiv.org/pdf/1908.00176","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"},{"score":0.4000000059604645,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1806647190","https://openalex.org/W1904875463","https://openalex.org/W2048231652","https://openalex.org/W2056884786","https://openalex.org/W2100960835","https://openalex.org/W2110921501","https://openalex.org/W2186022498","https://openalex.org/W2187089797","https://openalex.org/W2282821441","https://openalex.org/W2394669110","https://openalex.org/W2516809705","https://openalex.org/W2524301210","https://openalex.org/W2544318541","https://openalex.org/W2551974706","https://openalex.org/W2573660794","https://openalex.org/W2587195495","https://openalex.org/W2606882704","https://openalex.org/W2613800022","https://openalex.org/W2617709446","https://openalex.org/W2704480242","https://openalex.org/W2739672449","https://openalex.org/W2753845591","https://openalex.org/W2764072425","https://openalex.org/W2769421449","https://openalex.org/W2770804436","https://openalex.org/W2779573052","https://openalex.org/W2781844902","https://openalex.org/W2787991113","https://openalex.org/W2798497570","https://openalex.org/W2799201010","https://openalex.org/W2810874430","https://openalex.org/W2883424428","https://openalex.org/W2886614482","https://openalex.org/W2911964244","https://openalex.org/W2962714378","https://openalex.org/W2963854893","https://openalex.org/W2964247748","https://openalex.org/W2969476445","https://openalex.org/W3099361686","https://openalex.org/W3102092462","https://openalex.org/W3102518922","https://openalex.org/W3104279192","https://openalex.org/W3104475013","https://openalex.org/W3120740533","https://openalex.org/W3125978365","https://openalex.org/W4220820301","https://openalex.org/W4226065182","https://openalex.org/W4285719527","https://openalex.org/W4288359825","https://openalex.org/W4293769992","https://openalex.org/W4297821991","https://openalex.org/W4300542989","https://openalex.org/W4389739628","https://openalex.org/W6638782048","https://openalex.org/W6730035438","https://openalex.org/W6736261838","https://openalex.org/W6744110554"],"related_works":["https://openalex.org/W646492873","https://openalex.org/W26549110","https://openalex.org/W1557127976","https://openalex.org/W4285206532","https://openalex.org/W2557578560","https://openalex.org/W173065931","https://openalex.org/W4242788481","https://openalex.org/W2899325887","https://openalex.org/W787402332","https://openalex.org/W1977799662"],"abstract_inverted_index":{"Data-driven":[0],"decision":[1,50,68,111,139],"making":[2],"related":[3],"to":[4,29,44,60,65,77,84,109],"individuals":[5],"has":[6,17],"become":[7],"increasingly":[8],"pervasive,":[9],"but":[10,37],"the":[11,14,45,95,123,131,137],"issue":[12],"concerning":[13],"potential":[15],"discrimination":[16],"been":[18,42],"raised":[19],"by":[20],"recent":[21],"studies.":[22],"In":[23],"response,":[24],"researchers":[25],"have":[26,40],"made":[27],"efforts":[28,39],"propose":[30,71],"and":[31,35,102,117,127,141],"implement":[32],"fairness":[33,89],"measures":[34],"algorithms,":[36],"those":[38],"not":[41],"translated":[43],"real-world":[46],"practice":[47],"of":[48,88],"data-driven":[49],"making.":[51,69,112],"As":[52],"such,":[53],"there":[54],"is":[55,82],"still":[56],"an":[57],"urgent":[58],"need":[59],"create":[61],"a":[62,73,114],"viable":[63],"tool":[64],"facilitate":[66],"fair":[67,144],"We":[70],"FairSight,":[72],"visual":[74,125],"analytic":[75,126],"system":[76,132],"address":[78],"this":[79],"need;":[80],"it":[81],"designed":[83],"achieve":[85],"different":[86],"notions":[87],"in":[90,130,135],"ranking":[91],"decisions":[92],"through":[93],"identifying":[94],"required":[96],"actions":[97],"-":[98,105],"understanding,":[99],"measuring,":[100],"diagnosing":[101],"mitigating":[103],"biases":[104],"that":[106,122],"together":[107],"lead":[108],"fairer":[110],"Through":[113],"case":[115],"study":[116],"user":[118],"study,":[119],"we":[120],"demonstrate":[121],"proposed":[124],"diagnostic":[128],"modules":[129],"are":[133],"effective":[134],"understanding":[136],"fairness-aware":[138],"pipeline":[140],"obtaining":[142],"more":[143],"outcomes.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":24},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":25},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}