{"id":"https://openalex.org/W4388213050","doi":"https://doi.org/10.32614/rj-2023-034","title":"Fairness Audits and Debiasing Using \\pkg{mlr3fairness}","display_name":"Fairness Audits and Debiasing Using \\pkg{mlr3fairness}","publication_year":2023,"publication_date":"2023-08-26","ids":{"openalex":"https://openalex.org/W4388213050","doi":"https://doi.org/10.32614/rj-2023-034"},"language":"en","primary_location":{"id":"doi:10.32614/rj-2023-034","is_oa":true,"landing_page_url":"http://dx.doi.org/10.32614/rj-2023-034","pdf_url":"https://journal.r-project.org/articles/RJ-2023-034/RJ-2023-034.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://journal.r-project.org/articles/RJ-2023-034/RJ-2023-034.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019209786","display_name":"Florian Pfisterer","orcid":"https://orcid.org/0000-0001-8867-762X"},"institutions":[{"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":["Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","institution_ids":["https://openalex.org/I8204097"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060858636","display_name":"Siyi Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Siyi Wei","raw_affiliation_strings":["University of Toronto"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003185028","display_name":"Sebastian J. Vollmer","orcid":"https://orcid.org/0000-0003-2831-1401"},"institutions":[{"id":"https://openalex.org/I33256026","display_name":"German Research Centre for Artificial Intelligence","ror":"https://ror.org/01ayc5b57","country_code":"DE","type":"funder","lineage":["https://openalex.org/I33256026"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Vollmer","raw_affiliation_strings":["Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz","institution_ids":["https://openalex.org/I33256026"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044684160","display_name":"Michel Lang","orcid":"https://orcid.org/0000-0001-9754-0393"},"institutions":[{"id":"https://openalex.org/I4210139618","display_name":"Shanghai Key Laboratory of Trustworthy Computing","ror":"https://ror.org/030qbr085","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210139618"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Michel Lang","raw_affiliation_strings":["Research Center Trustworthy Data Science and Security"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center Trustworthy Data Science and Security","institution_ids":["https://openalex.org/I4210139618"]}]},{"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/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":["Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen","institution_ids":["https://openalex.org/I8204097"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2524392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"15","issue":"1","first_page":"234","last_page":"253"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11045","display_name":"Privacy, Security, and Data Protection","score":0.3190000057220459,"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"}},"topics":[{"id":"https://openalex.org/T11045","display_name":"Privacy, Security, and Data Protection","score":0.3190000057220459,"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/debiasing","display_name":"Debiasing","score":0.988956093788147},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7767066955566406},{"id":"https://openalex.org/keywords/audit","display_name":"Audit","score":0.7462291121482849},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.704108476638794},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5868958234786987},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5505264401435852},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4343743622303009},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4200514554977417},{"id":"https://openalex.org/keywords/accounting","display_name":"Accounting","score":0.12858814001083374}],"concepts":[{"id":"https://openalex.org/C2779458634","wikidata":"https://www.wikidata.org/wiki/Q24963715","display_name":"Debiasing","level":2,"score":0.988956093788147},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7767066955566406},{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.7462291121482849},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.704108476638794},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5868958234786987},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5505264401435852},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4343743622303009},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4200514554977417},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.12858814001083374},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32614/rj-2023-034","is_oa":true,"landing_page_url":"http://dx.doi.org/10.32614/rj-2023-034","pdf_url":"https://journal.r-project.org/articles/RJ-2023-034/RJ-2023-034.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32614/rj-2023-034","is_oa":true,"landing_page_url":"http://dx.doi.org/10.32614/rj-2023-034","pdf_url":"https://journal.r-project.org/articles/RJ-2023-034/RJ-2023-034.pdf","source":{"id":"https://openalex.org/S2489169438","display_name":"The R Journal","issn_l":"2073-4859","issn":["2073-4859"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The R Journal","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388213050.pdf"},"referenced_works_count":78,"referenced_works":["https://openalex.org/W1810028515","https://openalex.org/W2012218966","https://openalex.org/W2083542829","https://openalex.org/W2097246321","https://openalex.org/W2100960835","https://openalex.org/W2101234009","https://openalex.org/W2116984840","https://openalex.org/W2132862423","https://openalex.org/W2524301210","https://openalex.org/W2530395818","https://openalex.org/W2582743722","https://openalex.org/W2584805976","https://openalex.org/W2599025709","https://openalex.org/W2624319794","https://openalex.org/W2764072425","https://openalex.org/W2788481061","https://openalex.org/W2810511505","https://openalex.org/W2885501813","https://openalex.org/W2885659818","https://openalex.org/W2891229760","https://openalex.org/W2897702578","https://openalex.org/W2908201961","https://openalex.org/W2964031043","https://openalex.org/W2974817986","https://openalex.org/W2987883775","https://openalex.org/W2996717911","https://openalex.org/W3001553940","https://openalex.org/W3029881688","https://openalex.org/W3030081171","https://openalex.org/W3037294637","https://openalex.org/W3040894402","https://openalex.org/W3046858608","https://openalex.org/W3096003120","https://openalex.org/W3100279624","https://openalex.org/W3101206394","https://openalex.org/W3111736660","https://openalex.org/W3120740533","https://openalex.org/W3126806773","https://openalex.org/W3131567681","https://openalex.org/W3134439870","https://openalex.org/W3165730310","https://openalex.org/W3172781948","https://openalex.org/W3181414820","https://openalex.org/W3187057914","https://openalex.org/W3189984135","https://openalex.org/W3190962651","https://openalex.org/W3191549390","https://openalex.org/W4221164641","https://openalex.org/W4230414599","https://openalex.org/W4283171061","https://openalex.org/W4287867253","https://openalex.org/W4289258088","https://openalex.org/W4289293239","https://openalex.org/W4290725724","https://openalex.org/W4310999739","https://openalex.org/W4361990800","https://openalex.org/W4365388135","https://openalex.org/W4389994755","https://openalex.org/W4399524594","https://openalex.org/W4399575532","https://openalex.org/W4399612312","https://openalex.org/W4399650778","https://openalex.org/W6675354045","https://openalex.org/W6675359311","https://openalex.org/W6727155660","https://openalex.org/W6728551298","https://openalex.org/W6728933153","https://openalex.org/W6749630143","https://openalex.org/W6756281437","https://openalex.org/W6759025651","https://openalex.org/W6766726207","https://openalex.org/W6767327189","https://openalex.org/W6779475065","https://openalex.org/W6779892427","https://openalex.org/W6796232157","https://openalex.org/W6809680140","https://openalex.org/W6912178084","https://openalex.org/W7075681118"],"related_works":["https://openalex.org/W4386875279","https://openalex.org/W4362554880","https://openalex.org/W4281684980","https://openalex.org/W2171721708","https://openalex.org/W3214527415","https://openalex.org/W4287887864","https://openalex.org/W1495104519","https://openalex.org/W4390963114","https://openalex.org/W4225584739","https://openalex.org/W2199432031"],"abstract_inverted_index":{"Given":[0],"an":[1],"increase":[2],"in":[3,58],"data-driven":[4],"automated":[5],"decision-making":[6],"based":[7],"on":[8],"machine":[9,59,105],"learning":[10,60,106],"(ML)":[11],"models,":[12,25],"it":[13],"is":[14],"imperative":[15],"that,":[16],"along":[17,82],"with":[18,35,83],"tools":[19],"to":[20,30,37,76,91,118],"develop":[21],"and":[22,32,49,122],"improve":[23],"such":[24,96],"there":[26],"are":[27,126],"sufficient":[28],"capabilities":[29],"analyze":[31],"assess":[33],"models":[34,78,107],"respect":[36],"potential":[38,80],"biases.":[39,97],"We":[40],"present":[41],"the":[42,54],"package":[43,63],"mlr3fairness,":[44],"a":[45,65,84],"collection":[46],"of":[47,56,67,86,113],"metrics":[48,71,124],"methods":[50,103],"that":[51,72,88,125],"allow":[52,116],"for":[53,79,104,128],"assessment":[55],"bias":[57,101],"models.":[61],"Our":[62],"implements":[64],"variety":[66],"widely":[68],"used":[69,75],"fairness":[70,123],"can":[73,89],"be":[74],"audit":[77],"biases,":[81],"set":[85],"visualizations":[87],"help":[90],"provide":[92],"additional":[93],"insights":[94],"into":[95],"mlr3fairness":[98],"furthermore":[99],"integrates":[100],"mitigation":[102],"through":[108],"data":[109],"pre-processing":[110],"or":[111],"post-processing":[112],"predictions.":[114],"These":[115],"practitioners":[117],"trade":[119],"off":[120],"performance":[121],"appropriate":[127],"their":[129],"use":[130],"case.":[131]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}