{"id":"https://openalex.org/W4285805343","doi":"https://doi.org/10.1145/3520304.3528779","title":"Multi-objective counterfactual fairness","display_name":"Multi-objective counterfactual fairness","publication_year":2022,"publication_date":"2022-07-09","ids":{"openalex":"https://openalex.org/W4285805343","doi":"https://doi.org/10.1145/3520304.3528779"},"language":"en","primary_location":{"id":"doi:10.1145/3520304.3528779","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3520304.3528779","pdf_url":"https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3520304.3528779&file=p328-dandl-suppl.pdf","source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3520304.3528779&file=p328-dandl-suppl.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070750131","display_name":"Susanne Dandl","orcid":"https://orcid.org/0000-0003-4324-4163"},"institutions":[{"id":"https://openalex.org/I3018771216","display_name":"LMU Klinikum","ror":"https://ror.org/02jet3w32","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]},{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Susanne Dandl","raw_affiliation_strings":["LMU Munich, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LMU Munich, Munich, Germany","institution_ids":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019209786","display_name":"Florian Pfisterer","orcid":"https://orcid.org/0000-0001-8867-762X"},"institutions":[{"id":"https://openalex.org/I3018771216","display_name":"LMU Klinikum","ror":"https://ror.org/02jet3w32","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]},{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Florian Pfisterer","raw_affiliation_strings":["LMU Munich, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LMU Munich, Munich, Germany","institution_ids":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069072700","display_name":"Bernd Bischl","orcid":"https://orcid.org/0000-0001-6002-6980"},"institutions":[{"id":"https://openalex.org/I3018771216","display_name":"LMU Klinikum","ror":"https://ror.org/02jet3w32","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]},{"id":"https://openalex.org/I8204097","display_name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","ror":"https://ror.org/05591te55","country_code":"DE","type":"education","lineage":["https://openalex.org/I8204097"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bernd Bischl","raw_affiliation_strings":["LMU Munich, Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LMU Munich, Munich, Germany","institution_ids":["https://openalex.org/I3018771216","https://openalex.org/I8204097"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2934,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62342342,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"328","last_page":"331"},"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":0.9980999827384949,"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":0.9980999827384949,"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":0.9907000064849854,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9567999839782715,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/counterfactual-thinking","display_name":"Counterfactual thinking","score":0.9310707449913025},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7066982984542847},{"id":"https://openalex.org/keywords/audit","display_name":"Audit","score":0.7043952941894531},{"id":"https://openalex.org/keywords/framing","display_name":"Framing (construction)","score":0.5311535596847534},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4574621617794037},{"id":"https://openalex.org/keywords/real-world-data","display_name":"Real world data","score":0.44843947887420654},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41599130630493164},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3727845549583435},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3519909977912903},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.21228989958763123},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1964767873287201},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.16065967082977295},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.12672361731529236}],"concepts":[{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.9310707449913025},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7066982984542847},{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.7043952941894531},{"id":"https://openalex.org/C169087156","wikidata":"https://www.wikidata.org/wiki/Q2131593","display_name":"Framing (construction)","level":2,"score":0.5311535596847534},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4574621617794037},{"id":"https://openalex.org/C3020493868","wikidata":"https://www.wikidata.org/wiki/Q55631277","display_name":"Real world data","level":2,"score":0.44843947887420654},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41599130630493164},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3727845549583435},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3519909977912903},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.21228989958763123},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1964767873287201},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.16065967082977295},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.12672361731529236},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3520304.3528779","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3520304.3528779","pdf_url":"https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3520304.3528779&file=p328-dandl-suppl.pdf","source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3520304.3528779","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3520304.3528779","pdf_url":"https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3520304.3528779&file=p328-dandl-suppl.pdf","source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285805343.pdf","grobid_xml":"https://content.openalex.org/works/W4285805343.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W1975904784","https://openalex.org/W2097246321","https://openalex.org/W2100960835","https://openalex.org/W2126105956","https://openalex.org/W2599025709","https://openalex.org/W2765204106","https://openalex.org/W2945295328","https://openalex.org/W2964031043","https://openalex.org/W2964060106","https://openalex.org/W2973319951","https://openalex.org/W3002248449","https://openalex.org/W3019132020","https://openalex.org/W3098869601","https://openalex.org/W3099331386","https://openalex.org/W3103795814","https://openalex.org/W3104149808","https://openalex.org/W3135487809","https://openalex.org/W3181414820","https://openalex.org/W4298235707"],"related_works":["https://openalex.org/W3201448254","https://openalex.org/W4286970243","https://openalex.org/W2066431708","https://openalex.org/W3025615835","https://openalex.org/W4384133558","https://openalex.org/W173210993","https://openalex.org/W2390660599","https://openalex.org/W3003410553","https://openalex.org/W3028847759","https://openalex.org/W2393688264"],"abstract_inverted_index":{"When":[0],"machine":[1],"learning":[2],"is":[3,37],"used":[4,32],"to":[5,20,33,60,73,99,116,122],"automate":[6,52],"judgments,":[7],"e.g.":[8],"in":[9,87],"areas":[10],"like":[11],"lending":[12],"or":[13,63],"crime":[14],"prediction,":[15],"incorrect":[16],"decisions":[17,41],"can":[18,141],"lead":[19],"adverse":[21],"effects":[22],"for":[23,57,80],"affected":[24],"individuals.":[25],"This":[26],"occurs,":[27],"e.g.,":[28],"if":[29],"the":[30,88,96,123,128],"data":[31,129],"train":[34],"these":[35,58],"models":[36,50,70],"based":[38],"on":[39],"prior":[40],"that":[42,78,140],"are":[43],"unfairly":[44],"skewed":[45],"against":[46],"specific":[47],"subpopulations.":[48],"If":[49],"should":[51],"decision-making,":[53],"they":[54],"must":[55],"account":[56],"biases":[59],"prevent":[61],"perpetuating":[62],"creating":[64],"discriminatory":[65],"practices.":[66],"Counter-factual":[67],"fairness":[68,77],"audits":[69,119],"with":[71],"respect":[72],"a":[74,84,92,100,104,114,136,146],"notion":[75],"of":[76,127],"asks":[79],"equal":[81],"outcomes":[82],"between":[83],"decision":[85,101],"made":[86],"real":[89],"world":[90,94],"and":[91],"counterfactual":[93],"where":[95],"individual":[97],"subject":[98],"comes":[102],"from":[103],"different":[105],"protected":[106],"demographic":[107],"group.":[108],"In":[109],"this":[110],"work,":[111],"we":[112],"propose":[113],"method":[115],"conduct":[117],"such":[118],"without":[120],"access":[121],"underlying":[124],"causal":[125],"structure":[126],"generating":[130],"process":[131],"by":[132],"framing":[133],"it":[134],"as":[135],"multi-objective":[137],"optimization":[138],"task":[139],"be":[142],"efficiently":[143],"solved":[144],"using":[145],"genetic":[147],"algorithm.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}