{"id":"https://openalex.org/W4386234024","doi":"https://doi.org/10.1109/istas55053.2022.10227119","title":"Applying a Trustworthy AI Framework to Mitigate Bias and Increase Workforce Gender Diversity","display_name":"Applying a Trustworthy AI Framework to Mitigate Bias and Increase Workforce Gender Diversity","publication_year":2022,"publication_date":"2022-11-10","ids":{"openalex":"https://openalex.org/W4386234024","doi":"https://doi.org/10.1109/istas55053.2022.10227119"},"language":"en","primary_location":{"id":"doi:10.1109/istas55053.2022.10227119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/istas55053.2022.10227119","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Technology and Society (ISTAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100408599","display_name":"Xiang Liu","orcid":"https://orcid.org/0000-0002-1801-3171"},"institutions":[{"id":"https://openalex.org/I53276908","display_name":"Marymount University","ror":"https://ror.org/0008kv292","country_code":"US","type":"education","lineage":["https://openalex.org/I53276908"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiang Michelle Liu","raw_affiliation_strings":["Marymount University,School of Technology and Innovation,Arlington,Virginia,USA","School of Technology and Innovation, Marymount University, Arlington, Virginia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Marymount University,School of Technology and Innovation,Arlington,Virginia,USA","institution_ids":["https://openalex.org/I53276908"]},{"raw_affiliation_string":"School of Technology and Innovation, Marymount University, Arlington, Virginia, USA","institution_ids":["https://openalex.org/I53276908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046038056","display_name":"Diane Murphy","orcid":"https://orcid.org/0000-0003-3876-1107"},"institutions":[{"id":"https://openalex.org/I53276908","display_name":"Marymount University","ror":"https://ror.org/0008kv292","country_code":"US","type":"education","lineage":["https://openalex.org/I53276908"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Diane Murphy","raw_affiliation_strings":["Marymount University,School of Technology and Innovation,Arlington,Virginia,USA","School of Technology and Innovation, Marymount University, Arlington, Virginia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Marymount University,School of Technology and Innovation,Arlington,Virginia,USA","institution_ids":["https://openalex.org/I53276908"]},{"raw_affiliation_string":"School of Technology and Innovation, Marymount University, Arlington, Virginia, USA","institution_ids":["https://openalex.org/I53276908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I53276908"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"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":0.9947999715805054,"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":0.9947999715805054,"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/T13812","display_name":"AI and HR Technologies","score":0.982200026512146,"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"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9790999889373779,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/workforce","display_name":"Workforce","score":0.8699531555175781},{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.5421936511993408},{"id":"https://openalex.org/keywords/equity","display_name":"Equity (law)","score":0.5300226807594299},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4955247640609741},{"id":"https://openalex.org/keywords/compromise","display_name":"Compromise","score":0.4815424084663391},{"id":"https://openalex.org/keywords/trustworthiness","display_name":"Trustworthiness","score":0.4732953906059265},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.47298964858055115},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4535064697265625},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4339887499809265},{"id":"https://openalex.org/keywords/workforce-diversity","display_name":"Workforce diversity","score":0.42831188440322876},{"id":"https://openalex.org/keywords/public-relations","display_name":"Public relations","score":0.4141732454299927},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.27220064401626587},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.1995512843132019},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.18484008312225342},{"id":"https://openalex.org/keywords/social-science","display_name":"Social science","score":0.0731203556060791}],"concepts":[{"id":"https://openalex.org/C2778139618","wikidata":"https://www.wikidata.org/wiki/Q13440398","display_name":"Workforce","level":2,"score":0.8699531555175781},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.5421936511993408},{"id":"https://openalex.org/C199728807","wikidata":"https://www.wikidata.org/wiki/Q2578557","display_name":"Equity (law)","level":2,"score":0.5300226807594299},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4955247640609741},{"id":"https://openalex.org/C46355384","wikidata":"https://www.wikidata.org/wiki/Q726686","display_name":"Compromise","level":2,"score":0.4815424084663391},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.4732953906059265},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.47298964858055115},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4535064697265625},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4339887499809265},{"id":"https://openalex.org/C2992512960","wikidata":"https://www.wikidata.org/wiki/Q1230595","display_name":"Workforce diversity","level":3,"score":0.42831188440322876},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.4141732454299927},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.27220064401626587},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.1995512843132019},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.18484008312225342},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0731203556060791},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/istas55053.2022.10227119","is_oa":false,"landing_page_url":"https://doi.org/10.1109/istas55053.2022.10227119","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Symposium on Technology and Society (ISTAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1648303880","https://openalex.org/W2742108348","https://openalex.org/W2895763047","https://openalex.org/W2905604475","https://openalex.org/W2948100573","https://openalex.org/W2978094917","https://openalex.org/W2993986791","https://openalex.org/W2998069864","https://openalex.org/W3086535845","https://openalex.org/W3088924330","https://openalex.org/W3093861859","https://openalex.org/W3101206394","https://openalex.org/W4210867863","https://openalex.org/W4220820301","https://openalex.org/W4246122681","https://openalex.org/W4247039117","https://openalex.org/W6827300617","https://openalex.org/W7043379030"],"related_works":["https://openalex.org/W2154607632","https://openalex.org/W2783298216","https://openalex.org/W2223792694","https://openalex.org/W3016166646","https://openalex.org/W2126794474","https://openalex.org/W2049933621","https://openalex.org/W2015954732","https://openalex.org/W1971271180","https://openalex.org/W4242132210","https://openalex.org/W3115557245"],"abstract_inverted_index":{"Organizations":[0],"increasingly":[1],"use":[2,67],"artificial":[3],"intelligence":[4],"(AI)":[5],"technologies":[6],"in":[7,42,53,58,70,115,151],"their":[8],"screening":[9],"and":[10,16,95,112,126,132],"recruiting":[11,15],"process.":[12],"However,":[13],"AI-enabled":[14,43],"talent":[17,59],"management":[18],"tools":[19],"have":[20],"also":[21],"introduced":[22],"risks":[23],"of":[24,68,104],"unfair":[25],"bias":[26,111],"that":[27],"may":[28],"compromise":[29],"workforce":[30,44,99],"diversity.":[31],"This":[32],"conceptual":[33],"paper":[34],"frames":[35],"an":[36,78],"ethical":[37],"discussion":[38],"regarding":[39],"gender":[40,82,149],"equity":[41,150],"decision":[45,100],"applications.":[46],"The":[47,61,119],"authors":[48,120],"examined":[49],"several":[50],"real-world":[51],"cases":[52],"which":[54],"AI":[55,69,91],"was":[56,93],"used":[57],"acquisition.":[60],"ensuing":[62],"question":[63],"is":[64,107],"whether":[65],"the":[66,71,86,98,116],"hiring":[72],"process":[73],"can":[74],"be":[75],"turned":[76],"into":[77],"advantage":[79],"to":[80,97,109,122,133,137],"improve":[81],"equity.":[83],"To":[84],"address":[85],"question,":[87],"a":[88],"multi-faceted":[89],"trustworthy":[90,145],"framework":[92],"reviewed":[94],"applied":[96],"context.":[101],"A":[102],"list":[103],"implementation":[105],"guidelines":[106],"proposed":[108],"mitigate":[110],"increase":[113],"diversity":[114],"IT":[117],"workforce.":[118],"aim":[121],"stimulate":[123],"further":[124],"discussions":[125],"investigation":[127],"on":[128,144],"this":[129],"complex":[130],"topic":[131],"call":[134],"for":[135],"action":[136],"develop":[138],"educational":[139],"programs":[140],"or":[141],"awareness":[142],"campaigns":[143],"AI,":[146],"so":[147],"improving":[148],"technology":[152],"hiring.":[153]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}