{"id":"https://openalex.org/W3194763908","doi":"https://doi.org/10.1145/3471391.3471420","title":"Assessing Gender Bias in Predictive Algorithms using eXplainable AI","display_name":"Assessing Gender Bias in Predictive Algorithms using eXplainable AI","publication_year":2021,"publication_date":"2021-08-13","ids":{"openalex":"https://openalex.org/W3194763908","doi":"https://doi.org/10.1145/3471391.3471420","mag":"3194763908"},"language":"en","primary_location":{"id":"doi:10.1145/3471391.3471420","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3471391.3471420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the XXI International Conference on Human Computer Interaction","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/A5091067616","display_name":"Cristina Manresa-Yee","orcid":"https://orcid.org/0000-0002-8482-7552"},"institutions":[{"id":"https://openalex.org/I50441567","display_name":"Universitat de les Illes Balears","ror":"https://ror.org/03e10x626","country_code":"ES","type":"education","lineage":["https://openalex.org/I50441567"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Cristina Manresa-Yee","raw_affiliation_strings":["Maths and Computer Science Department, Universitat de les Illes Balears, Palma, Spain"],"affiliations":[{"raw_affiliation_string":"Maths and Computer Science Department, Universitat de les Illes Balears, Palma, Spain","institution_ids":["https://openalex.org/I50441567"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053726712","display_name":"Silvia Ramis","orcid":"https://orcid.org/0000-0002-1039-4387"},"institutions":[{"id":"https://openalex.org/I50441567","display_name":"Universitat de les Illes Balears","ror":"https://ror.org/03e10x626","country_code":"ES","type":"education","lineage":["https://openalex.org/I50441567"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Silvia Ramis","raw_affiliation_strings":["Maths and Computer Science Department, Universitat de les Illes Balears, Palma, Spain"],"affiliations":[{"raw_affiliation_string":"Maths and Computer Science Department, Universitat de les Illes Balears, Palma, Spain","institution_ids":["https://openalex.org/I50441567"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091067616"],"corresponding_institution_ids":["https://openalex.org/I50441567"],"apc_list":null,"apc_paid":null,"fwci":1.7675,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.87544891,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9998000264167786,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9998000264167786,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.980400025844574,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9750999808311462,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6501699090003967},{"id":"https://openalex.org/keywords/gender-bias","display_name":"Gender bias","score":0.5860002636909485},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5160514712333679},{"id":"https://openalex.org/keywords/racial-bias","display_name":"Racial bias","score":0.4671907424926758},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4669341444969177},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42263123393058777},{"id":"https://openalex.org/keywords/implicit-bias","display_name":"Implicit bias","score":0.4167087972164154},{"id":"https://openalex.org/keywords/race","display_name":"Race (biology)","score":0.21497100591659546},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2101193070411682},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.15032091736793518}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6501699090003967},{"id":"https://openalex.org/C2983427547","wikidata":"https://www.wikidata.org/wiki/Q93200","display_name":"Gender bias","level":2,"score":0.5860002636909485},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5160514712333679},{"id":"https://openalex.org/C2992700788","wikidata":"https://www.wikidata.org/wiki/Q8461","display_name":"Racial bias","level":3,"score":0.4671907424926758},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4669341444969177},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42263123393058777},{"id":"https://openalex.org/C2991991027","wikidata":"https://www.wikidata.org/wiki/Q6007314","display_name":"Implicit bias","level":2,"score":0.4167087972164154},{"id":"https://openalex.org/C76509639","wikidata":"https://www.wikidata.org/wiki/Q918036","display_name":"Race (biology)","level":2,"score":0.21497100591659546},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2101193070411682},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.15032091736793518},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3471391.3471420","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3471391.3471420","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the XXI International Conference on Human Computer Interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality","score":0.550000011920929}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2282821441","https://openalex.org/W2506506742","https://openalex.org/W2550925836","https://openalex.org/W2750144484","https://openalex.org/W2810135932","https://openalex.org/W2891525068","https://openalex.org/W2954503794","https://openalex.org/W2963095307","https://openalex.org/W2977406596","https://openalex.org/W3011152192","https://openalex.org/W3189373506","https://openalex.org/W4220820301","https://openalex.org/W4287262329"],"related_works":["https://openalex.org/W2883444989","https://openalex.org/W4295918745","https://openalex.org/W2474409797","https://openalex.org/W3163133269","https://openalex.org/W3181799949","https://openalex.org/W2786982865","https://openalex.org/W2884842305","https://openalex.org/W3149527543","https://openalex.org/W3193875621","https://openalex.org/W4243570137"],"abstract_inverted_index":{"Predictive":[0],"algorithms":[1,19],"have":[2],"a":[3],"powerful":[4],"potential":[5],"to":[6,54],"offer":[7],"benefits":[8],"in":[9,38],"areas":[10],"as":[11,13],"varied":[12],"medicine":[14],"or":[15,61],"education.":[16],"However,":[17],"these":[18],"and":[20,35],"the":[21,33],"data":[22],"they":[23,30],"use":[24],"are":[25],"built":[26],"by":[27],"humans,":[28],"consequently,":[29],"can":[31,42,51],"inherit":[32],"bias":[34],"prejudices":[36],"present":[37],"humans.":[39],"The":[40],"outcomes":[41],"systematically":[43],"repeat":[44],"errors":[45],"that":[46],"create":[47],"unfair":[48],"results,":[49],"which":[50],"even":[52],"lead":[53],"situations":[55],"of":[56],"discrimination":[57],"(e.g.":[58],"gender,":[59],"social":[60],"racial).":[62]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
