{"id":"https://openalex.org/W4383213657","doi":"https://doi.org/10.1145/3597512.3597522","title":"MACAIF: Machine Learning Auditing for Clinical AI Fairness","display_name":"MACAIF: Machine Learning Auditing for Clinical AI Fairness","publication_year":2023,"publication_date":"2023-07-05","ids":{"openalex":"https://openalex.org/W4383213657","doi":"https://doi.org/10.1145/3597512.3597522"},"language":"en","primary_location":{"id":"doi:10.1145/3597512.3597522","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3597512.3597522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First International Symposium on Trustworthy Autonomous 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/A5075253300","display_name":"Pepita Barnard","orcid":"https://orcid.org/0000-0003-4518-1207"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Pepita Barnard","raw_affiliation_strings":["University of Nottingham, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0003-4518-1207","affiliations":[{"raw_affiliation_string":"University of Nottingham, United Kingdom","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022028283","display_name":"John Robert Bautista","orcid":"https://orcid.org/0000-0002-4892-9543"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Robert Bautista","raw_affiliation_strings":["University of Texas at Austin, USA"],"raw_orcid":"https://orcid.org/0000-0002-4892-9543","affiliations":[{"raw_affiliation_string":"University of Texas at Austin, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090155411","display_name":"Joshua Krook","orcid":"https://orcid.org/0000-0001-7215-9780"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Joshua Krook","raw_affiliation_strings":["University of Southampton, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0001-7215-9780","affiliations":[{"raw_affiliation_string":"University of Southampton, United Kingdom","institution_ids":["https://openalex.org/I43439940"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757581","display_name":"Anqi Liu","orcid":"https://orcid.org/0000-0002-9432-4836"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anqi Liu","raw_affiliation_strings":["Johns Hopkins University, USA"],"raw_orcid":"https://orcid.org/0000-0002-9432-4836","affiliations":[{"raw_affiliation_string":"Johns Hopkins University, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037098621","display_name":"H\u00e9ctor D. Men\u00e9ndez","orcid":"https://orcid.org/0000-0002-6314-3725"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"H\u00e9ctor Men\u00e9ndez","raw_affiliation_strings":["King's College London, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-6314-3725","affiliations":[{"raw_affiliation_string":"King's College London, United Kingdom","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037432599","display_name":"Aurora Schmidt","orcid":"https://orcid.org/0000-0001-9027-8484"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aurora Schmidt","raw_affiliation_strings":["Johns Hopkins University, USA"],"raw_orcid":"https://orcid.org/0000-0001-9027-8484","affiliations":[{"raw_affiliation_string":"Johns Hopkins University, USA","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103203540","display_name":"Tamim Sookoor","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tamim Sookoor","raw_affiliation_strings":["Johns Hopkins University, USA"],"raw_orcid":"https://orcid.org/0000-0001-6377-2436","affiliations":[{"raw_affiliation_string":"Johns Hopkins University, USA","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5075253300"],"corresponding_institution_ids":["https://openalex.org/I142263535"],"apc_list":null,"apc_paid":null,"fwci":0.0376,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.41408902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9918000102043152,"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"}},"topics":[{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9918000102043152,"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/T13555","display_name":"Healthcare cost, quality, practices","score":0.9832000136375427,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"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":0.9786999821662903,"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":0.731991708278656},{"id":"https://openalex.org/keywords/dashboard","display_name":"Dashboard","score":0.6985580325126648},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6547194719314575},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6527175903320312},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.627342939376831},{"id":"https://openalex.org/keywords/audit","display_name":"Audit","score":0.5945006608963013},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5690246820449829},{"id":"https://openalex.org/keywords/demographics","display_name":"Demographics","score":0.4174806773662567},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32727575302124023}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.731991708278656},{"id":"https://openalex.org/C33499554","wikidata":"https://www.wikidata.org/wiki/Q1417134","display_name":"Dashboard","level":2,"score":0.6985580325126648},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6547194719314575},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6527175903320312},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.627342939376831},{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.5945006608963013},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5690246820449829},{"id":"https://openalex.org/C2780084366","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demographics","level":2,"score":0.4174806773662567},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32727575302124023},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3597512.3597522","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3597512.3597522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the First International Symposium on Trustworthy Autonomous Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[{"id":"https://openalex.org/G6136994381","display_name":null,"funder_award_id":"EP/T022493/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2095577883","https://openalex.org/W2156567116","https://openalex.org/W2809728483","https://openalex.org/W3036458852","https://openalex.org/W3127282219","https://openalex.org/W3135370884","https://openalex.org/W4206125877","https://openalex.org/W4280519765"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4288019534"],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1],"in":[2,19,56,85,158],"the":[3,11,20,57,86,96,111,139],"form":[4],"of":[5,59,88,113,141],"machine":[6,90,114,159],"learning":[7,91,115,160],"algorithms":[8,116],"is":[9,53,75,152],"driving":[10],"latest":[12],"industrial":[13],"revolution,":[14],"leading":[15],"to":[16,48,77,100,109,130,154],"disruptive":[17],"changes":[18,33],"ways":[21],"we":[22],"communicate,":[23],"interact,":[24],"design,":[25],"collect":[26],"information,":[27],"and":[28,68,80,134],"express":[29],"ourselves.":[30],"While":[31],"these":[32,72],"offer":[34],"new":[35],"possibilities":[36],"for":[37],"our":[38],"societies,":[39],"they":[40],"may":[41],"also":[42],"introduce":[43],"biases":[44,79],"that":[45,104],"can":[46,64],"lead":[47],"unfair":[49],"decisions.":[50],"This":[51],"issue":[52],"particularly":[54],"critical":[55],"context":[58],"medical":[60],"diagnosis,":[61],"as":[62,121],"bias":[63],"jeopardize":[65],"patient":[66],"treatment":[67],"health.":[69],"To":[70],"mitigate":[71],"biases,":[73],"it":[74],"essential":[76],"such":[78,120],"involve":[81],"all":[82],"relevant":[83],"stakeholders":[84,133],"design":[87,140],"fair":[89],"algorithms.":[92],"In":[93],"this":[94],"context,":[95],"MACAIF":[97],"project":[98,126],"aims":[99],"develop":[101],"user-centred":[102],"interfaces":[103],"allow":[105],"stakeholders,":[106],"including":[107],"doctors,":[108],"challenge":[110],"fairness":[112],"based":[117,144],"on":[118,145],"demographics,":[119],"gender":[122],"or":[123],"race.":[124],"Our":[125],"proposes":[127],"a":[128,142],"methodology":[129],"engage":[131],"with":[132],"incorporate":[135],"their":[136],"concerns":[137],"during":[138],"dashboard":[143],"MLighter":[146],"-":[147],"an":[148],"adversarial":[149],"tool":[150],"which":[151],"applied":[153],"identify":[155],"fairness-related":[156],"issues":[157],"models.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}