{"id":"https://openalex.org/W4387846337","doi":"https://doi.org/10.1145/3583780.3615261","title":"'Choose your Data Wisely': Active Learning based Selection with Multi-Objective Optimisation for Mitigating Stereotypes","display_name":"'Choose your Data Wisely': Active Learning based Selection with Multi-Objective Optimisation for Mitigating Stereotypes","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387846337","doi":"https://doi.org/10.1145/3583780.3615261"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3615261","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615261","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://eprints.gla.ac.uk/view/author/64664.html>,","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049352325","display_name":"Manish Chandra","orcid":"https://orcid.org/0009-0000-6156-5337"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]},{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Manish Chandra","raw_affiliation_strings":["University of Glasgow, Glasgow, United Kingdom","University of Liverpool Liverpool, United Kingdom","University of Glasgow Glasgow, United Kingdom"],"raw_orcid":"https://orcid.org/0009-0000-6156-5337","affiliations":[{"raw_affiliation_string":"University of Glasgow, Glasgow, United Kingdom","institution_ids":["https://openalex.org/I7882870"]},{"raw_affiliation_string":"University of Liverpool Liverpool, United Kingdom","institution_ids":["https://openalex.org/I146655781"]},{"raw_affiliation_string":"University of Glasgow Glasgow, United Kingdom","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082339849","display_name":"Debasis Ganguly","orcid":"https://orcid.org/0000-0003-0050-7138"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]},{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Debasis Ganguly","raw_affiliation_strings":["University of Glasgow, Glasgow, United Kingdom","University of Liverpool Liverpool, United Kingdom","University of Glasgow Glasgow, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0003-0050-7138","affiliations":[{"raw_affiliation_string":"University of Glasgow, Glasgow, United Kingdom","institution_ids":["https://openalex.org/I7882870"]},{"raw_affiliation_string":"University of Liverpool Liverpool, United Kingdom","institution_ids":["https://openalex.org/I146655781"]},{"raw_affiliation_string":"University of Glasgow Glasgow, United Kingdom","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052524267","display_name":"Tulika Saha","orcid":"https://orcid.org/0000-0002-3252-0997"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]},{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tulika Saha","raw_affiliation_strings":["University of Liverpool, Liverpool, United Kingdom","University of Glasgow Glasgow, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-3252-0997","affiliations":[{"raw_affiliation_string":"University of Liverpool, Liverpool, United Kingdom","institution_ids":["https://openalex.org/I146655781"]},{"raw_affiliation_string":"University of Glasgow Glasgow, United Kingdom","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079046603","display_name":"Iadh Ounis","orcid":"https://orcid.org/0000-0003-4701-3223"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]},{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Iadh Ounis","raw_affiliation_strings":["University of Glasgow, Glasgow, United Kingdom","University of Glasgow Glasgow, United Kingdom","University of Liverpool Liverpool, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0003-4701-3223","affiliations":[{"raw_affiliation_string":"University of Glasgow, Glasgow, United Kingdom","institution_ids":["https://openalex.org/I7882870"]},{"raw_affiliation_string":"University of Glasgow Glasgow, United Kingdom","institution_ids":["https://openalex.org/I7882870"]},{"raw_affiliation_string":"University of Liverpool Liverpool, United Kingdom","institution_ids":["https://openalex.org/I146655781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13866585,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3768","last_page":"3772"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9984999895095825,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9984999895095825,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9969000220298767,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.993399977684021,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.708745539188385},{"id":"https://openalex.org/keywords/commit","display_name":"Commit","score":0.6934751868247986},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6664630770683289},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6231898665428162},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5321048498153687},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5215597152709961},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4736524820327759},{"id":"https://openalex.org/keywords/debiasing","display_name":"Debiasing","score":0.46736833453178406},{"id":"https://openalex.org/keywords/selection-bias","display_name":"Selection bias","score":0.43946659564971924},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12447062134742737},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.08855864405632019},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08761778473854065}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.708745539188385},{"id":"https://openalex.org/C153180980","wikidata":"https://www.wikidata.org/wiki/Q19776675","display_name":"Commit","level":2,"score":0.6934751868247986},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6664630770683289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6231898665428162},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5321048498153687},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5215597152709961},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4736524820327759},{"id":"https://openalex.org/C2779458634","wikidata":"https://www.wikidata.org/wiki/Q24963715","display_name":"Debiasing","level":2,"score":0.46736833453178406},{"id":"https://openalex.org/C40423286","wikidata":"https://www.wikidata.org/wiki/Q284172","display_name":"Selection bias","level":2,"score":0.43946659564971924},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12447062134742737},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.08855864405632019},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08761778473854065},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3583780.3615261","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615261","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.gla.ac.uk:305036","is_oa":true,"landing_page_url":"https://eprints.gla.ac.uk/view/author/64664.html>,","pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Conference Proceedings"}],"best_oa_location":{"id":"pmh:oai:eprints.gla.ac.uk:305036","is_oa":true,"landing_page_url":"https://eprints.gla.ac.uk/view/author/64664.html>,","pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Conference Proceedings"},"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W2026019770","https://openalex.org/W2059141064","https://openalex.org/W2095932468","https://openalex.org/W2100960835","https://openalex.org/W2116984840","https://openalex.org/W2147427185","https://openalex.org/W2171671120","https://openalex.org/W2194775991","https://openalex.org/W2282821441","https://openalex.org/W2550925836","https://openalex.org/W2584805976","https://openalex.org/W2791170418","https://openalex.org/W2802105481","https://openalex.org/W2885414621","https://openalex.org/W2890680318","https://openalex.org/W2963100392","https://openalex.org/W2963116854","https://openalex.org/W2964060106","https://openalex.org/W3035591180","https://openalex.org/W3094179039","https://openalex.org/W3152733223","https://openalex.org/W3157975787","https://openalex.org/W3175997347","https://openalex.org/W3197665185","https://openalex.org/W3210823834","https://openalex.org/W4241857777","https://openalex.org/W4296544185"],"related_works":["https://openalex.org/W4362554880","https://openalex.org/W4281684980","https://openalex.org/W4386875279","https://openalex.org/W2171721708","https://openalex.org/W4390963114","https://openalex.org/W4377864593","https://openalex.org/W4382317875","https://openalex.org/W4294433193","https://openalex.org/W2389015757","https://openalex.org/W4281782004"],"abstract_inverted_index":{"Data-driven":[0],"(deep)":[1],"learning":[2],"methods":[3],"has":[4],"led":[5],"to":[6,14,38,163,198],"parameterised":[7],"abstractions":[8],"of":[9,45,84,89,92,122,132,137,151,157,185,212],"the":[10,56,62,107,110,123,134,138,149,155,158,164,187],"data,":[11],"often":[12],"leading":[13],"stereotype":[15],"societal":[16],"biases":[17,49],"in":[18,109,145,183],"their":[19],"predictions,":[20],"e.g.,":[21],"predicting":[22],"more":[23,36],"frequently":[24],"that":[25,32,83,175],"women":[26],"are":[27,35,195],"weaker":[28],"than":[29,41],"men,":[30],"or":[31,60],"African":[33],"Americans":[34],"likely":[37],"commit":[39],"crimes":[40],"Caucasians.":[42],"Standard":[43],"approaches":[44],"mitigating":[46],"such":[47,167],"stereotypical":[48],"from":[50,78],"deep":[51],"neural":[52],"models":[53],"include":[54],"modifying":[55],"training":[57,96],"dataset":[58],"(pre-processing),":[59],"adjusting":[61],"model":[63,98,135,159],"parameters":[64],"with":[65,126,161,208],"a":[66,79,90,97,119],"bias-specific":[67],"objective":[68],"(in-processing).":[69],"In":[70],"our":[71,176],"work,":[72],"we":[73],"approach":[74],"this":[75,201],"bias":[76],"mitigation":[77],"different":[80],"perspective":[81],"-":[82,130],"an":[85,209],"active":[86,146,202],"learning-based":[87,203],"selection":[88,128,178,205],"subset":[91,121],"data":[93,124,204],"instances":[94,125],"towards":[95],"optimised":[99],"for":[100],"both":[101,186],"effectiveness":[102,190],"and":[103,148,170,191],"fairness.":[104,192],"Specifically":[105],"speaking,":[106],"imbalances":[108],"attribute":[111],"value":[112],"priors":[113],"can":[114],"be":[115],"alleviated":[116],"by":[117],"constructing":[118],"balanced":[120],"two":[127],"objectives":[129],"first,":[131],"improving":[133],"confidence":[136],"primary":[139,188],"task":[140,189],"itself":[141],"(a":[142],"standard":[143],"practice":[144],"learning),":[147],"second,":[150],"taking":[152],"into":[153],"account":[154],"parity":[156],"predictions":[160],"respect":[162],"sensitive":[165],"attributes,":[166],"as":[168],"gender":[169],"race":[171],"etc.":[172],"We":[173],"demonstrate":[174],"proposed":[177],"function":[179],"achieves":[180],"better":[181],"results":[182,194],"terms":[184],"The":[193],"further":[196],"shown":[197],"improve":[199],"when":[200],"is":[206],"combined":[207],"in-process":[210],"method":[211],"multi-objective":[213],"training.":[214]},"counts_by_year":[],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}