{"id":"https://openalex.org/W4247149290","doi":"https://doi.org/10.1145/3411763.3444998","title":"Introduction to AI Fairness","display_name":"Introduction to AI Fairness","publication_year":2021,"publication_date":"2021-05-08","ids":{"openalex":"https://openalex.org/W4247149290","doi":"https://doi.org/10.1145/3411763.3444998"},"language":"en","primary_location":{"id":"doi:10.1145/3411763.3444998","doi":"https://doi.org/10.1145/3411763.3444998","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3411763.3444998","pdf_url":null,"source":{"id":"https://openalex.org/S7407088584","display_name":"CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056723921","display_name":"Yunfeng Zhang","orcid":"https://orcid.org/0000-0002-3630-9232","observed_orcids":["https://orcid.org/0000-0002-3630-9232"]},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yunfeng Zhang","raw_affiliation_strings":["IBM Research, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research, United States","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054098149","display_name":"Rachel Bellamy","orcid":"https://orcid.org/0000-0002-9403-2913","observed_orcids":["https://orcid.org/0000-0002-9403-2913"]},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]},{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rachel Bellamy","raw_affiliation_strings":["IBM T.J. Watson Research, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM T.J. Watson Research, United States","institution_ids":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045428659","display_name":"Q. Vera Liao","orcid":"https://orcid.org/0000-0003-4543-7196","observed_orcids":["https://orcid.org/0000-0003-4543-7196"]},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Q. Vera Liao","raw_affiliation_strings":["IBM Research, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research, United States","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110922516","display_name":"Moninder Singh","orcid":"https://orcid.org/0000-0001-5758-9395","observed_orcids":["https://orcid.org/0000-0001-5758-9395"]},"institutions":[{"id":"https://openalex.org/I4210114115","display_name":"IBM Research - Thomas J. Watson Research Center","ror":"https://ror.org/0265w5591","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Moninder Singh","raw_affiliation_strings":["IBM T.J. Watson Research Center, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM T.J. Watson Research Center, United States","institution_ids":["https://openalex.org/I4210114115"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3761,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60909794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"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":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9990000128746033,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":9.999999747378752e-05,"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/T13812","display_name":"AI and HR Technologies","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithmic-fairness","display_name":"algorithmic fairness","score":0.984000027179718},{"id":"https://openalex.org/keywords/algorithmic-bias","display_name":"algorithmic bias","score":0.7850000262260437},{"id":"https://openalex.org/keywords/bias-mitigation","display_name":"bias mitigation","score":0.7699999809265137},{"id":"https://openalex.org/keywords/fairness-metrics","display_name":"fairness metrics","score":0.8669999837875366},{"id":"https://openalex.org/keywords/high-stakes-decision-making","display_name":"high-stakes decision making","score":0.9259999990463257}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7581439018249512},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.7034718990325928},{"id":"https://openalex.org/C11867375","wikidata":"https://www.wikidata.org/wiki/Q5430671","display_name":"Fairness measure","level":4,"score":0.4698083996772766},{"id":"https://openalex.org/C3018397939","wikidata":"https://www.wikidata.org/wiki/Q3644502","display_name":"Open source","level":3,"score":0.44604742527008057},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3875948190689087},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09101521968841553},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.0785505473613739},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.060630857944488525},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"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/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3411763.3444998","doi":"https://doi.org/10.1145/3411763.3444998","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3411763.3444998","pdf_url":null,"source":{"id":"https://openalex.org/S7407088584","display_name":"CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2974817986","https://openalex.org/W4230414599"],"related_works":["https://openalex.org/W4293098159","https://openalex.org/W3161720865","https://openalex.org/W4225142398","https://openalex.org/W4385764484","https://openalex.org/W2900572965","https://openalex.org/W3001325760","https://openalex.org/W4225158968","https://openalex.org/W4413919448","https://openalex.org/W7213502421","https://openalex.org/W3030081171"],"abstract_inverted_index":{"Today,":[0],"AI":[1,22,33,98],"is":[2,12,84,89],"used":[3],"in":[4,9,63,94],"many":[5,19,38,68],"high-stakes":[6],"decision-making":[7],"applications":[8],"which":[10],"fairness":[11],"an":[13],"important":[14],"concern.":[15],"Already,":[16],"there":[17],"are":[18],"examples":[20],"of":[21,71,97],"being":[23],"biased":[24],"and":[25,28,42,46,77,88],"making":[26],"questionable":[27],"unfair":[29],"decisions.":[30],"Recently,":[31],"the":[32,60,67,95],"research":[34],"community":[35],"has":[36],"proposed":[37],"methods":[39],"to":[40,52,79,86],"measure":[41],"mitigate":[43,80],"unwanted":[44],"biases,":[45],"developed":[47],"open-source":[48],"toolkits":[49],"for":[50,91],"developers":[51],"make":[53],"fair":[54],"AI.":[55],"This":[56,82],"course":[57,83],"will":[58],"cover":[59],"recent":[61],"development":[62],"algorithmic":[64],"fairness,":[65,72],"including":[66],"different":[69],"definitions":[70],"their":[73],"corresponding":[74],"quantitative":[75],"measurements,":[76],"ways":[78],"biases.":[81],"open":[85],"beginners":[87],"designed":[90],"anyone":[92],"interested":[93],"topic":[96],"fairness.":[99]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2022-05-12T00:00:00"}
