{"id":"https://openalex.org/W3030167923","doi":"https://doi.org/10.1145/3334480.3375059","title":"Introduction to AI Fairness","display_name":"Introduction to AI Fairness","publication_year":2020,"publication_date":"2020-04-25","ids":{"openalex":"https://openalex.org/W3030167923","doi":"https://doi.org/10.1145/3334480.3375059","mag":"3030167923"},"language":"en","primary_location":{"id":"doi:10.1145/3334480.3375059","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3334480.3375059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"article","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/A5043987765","display_name":"Yunfeng Zhang","orcid":"https://orcid.org/0000-0003-2418-2120"},"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":true,"raw_author_name":"Yunfeng Zhang","raw_affiliation_strings":["IBM Research AI, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research AI, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054098149","display_name":"Rachel Bellamy","orcid":null},"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":"Rachel K. E. Bellamy","raw_affiliation_strings":["IBM Research AI, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research AI, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110922516","display_name":"Moninder Singh","orcid":null},"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":"Moninder Singh","raw_affiliation_strings":["IBM Research AI, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research AI, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024320659","display_name":"Q. Vera Liao","orcid":"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 AI, Yorktown Heights, NY, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research AI, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5043987765"],"corresponding_institution_ids":["https://openalex.org/I1341412227"],"apc_list":null,"apc_paid":null,"fwci":1.2829,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83039189,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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":0.638700008392334,"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":0.638700008392334,"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/T14260","display_name":"Impact of AI and Big Data on Business and Society","score":0.5859000086784363,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14350","display_name":"Innovation, Sustainability, Human-Machine Systems","score":0.5598000288009644,"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":0.7837176322937012},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.6813465356826782},{"id":"https://openalex.org/keywords/fairness-measure","display_name":"Fairness measure","score":0.6497364044189453},{"id":"https://openalex.org/keywords/open-source","display_name":"Open source","score":0.44433706998825073},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3750689625740051},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.08745208382606506},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07417228817939758},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06717783212661743}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7837176322937012},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.6813465356826782},{"id":"https://openalex.org/C11867375","wikidata":"https://www.wikidata.org/wiki/Q5430671","display_name":"Fairness measure","level":4,"score":0.6497364044189453},{"id":"https://openalex.org/C3018397939","wikidata":"https://www.wikidata.org/wiki/Q3644502","display_name":"Open source","level":3,"score":0.44433706998825073},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3750689625740051},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.08745208382606506},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07417228817939758},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06717783212661743},{"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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:10.1145/3334480.3375059","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3334480.3375059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W4230414599"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4232403550","https://openalex.org/W623607250","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"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":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}