{"id":"https://openalex.org/W3033646748","doi":"https://doi.org/10.1609/aaai.v34i01.5377","title":"Faking Fairness via Stealthily Biased Sampling","display_name":"Faking Fairness via Stealthily Biased Sampling","publication_year":2020,"publication_date":"2020-04-03","ids":{"openalex":"https://openalex.org/W3033646748","doi":"https://doi.org/10.1609/aaai.v34i01.5377","mag":"3033646748"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v34i01.5377","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v34i01.5377","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/5377/5233","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/5377/5233","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008914720","display_name":"Kazuto Fukuchi","orcid":"https://orcid.org/0000-0003-3895-219X"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuto Fukuchi","raw_affiliation_strings":["RIKEN Center for Advanced Intelligence Project"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RIKEN Center for Advanced Intelligence Project","institution_ids":["https://openalex.org/I4210126580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033780644","display_name":"Satoshi Hara","orcid":"https://orcid.org/0000-0002-5199-8363"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoshi Hara","raw_affiliation_strings":["Osaka University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Osaka University","institution_ids":["https://openalex.org/I98285908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009867352","display_name":"Takanori Maehara","orcid":"https://orcid.org/0000-0002-2101-1484"},"institutions":[{"id":"https://openalex.org/I4210126580","display_name":"RIKEN Center for Advanced Intelligence Project","ror":"https://ror.org/03ckxwf91","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210110652","https://openalex.org/I4210126580"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takanori Maehara","raw_affiliation_strings":["RIKEN Center for Advanced Intelligence Project"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RIKEN Center for Advanced Intelligence Project","institution_ids":["https://openalex.org/I4210126580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8638,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.83856502,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"34","issue":"01","first_page":"412","last_page":"419"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12520","display_name":"Psychology of Moral and Emotional Judgment","score":0.9659000039100647,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12520","display_name":"Psychology of Moral and Emotional Judgment","score":0.9659000039100647,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/audit","display_name":"Audit","score":0.8072223663330078},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.7417505979537964},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6702346801757812},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6550438404083252},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5837128162384033},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5155150890350342},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5044490098953247},{"id":"https://openalex.org/keywords/benfords-law","display_name":"Benford's law","score":0.47745564579963684},{"id":"https://openalex.org/keywords/decision-maker","display_name":"Decision maker","score":0.4171680808067322},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.21812859177589417},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.2142237424850464},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.1511525809764862},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.14624693989753723},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.11984574794769287},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11910751461982727},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10790953040122986},{"id":"https://openalex.org/keywords/management","display_name":"Management","score":0.07215210795402527}],"concepts":[{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.8072223663330078},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.7417505979537964},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6702346801757812},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6550438404083252},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5837128162384033},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5155150890350342},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5044490098953247},{"id":"https://openalex.org/C152636012","wikidata":"https://www.wikidata.org/wiki/Q817168","display_name":"Benford's law","level":2,"score":0.47745564579963684},{"id":"https://openalex.org/C2986080485","wikidata":"https://www.wikidata.org/wiki/Q1331926","display_name":"Decision maker","level":2,"score":0.4171680808067322},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.21812859177589417},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2142237424850464},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.1511525809764862},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.14624693989753723},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.11984574794769287},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11910751461982727},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10790953040122986},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.07215210795402527},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v34i01.5377","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v34i01.5377","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/5377/5233","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/5377","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/5377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1609/aaai.v34i01.5377","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v34i01.5377","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/5377/5233","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3033646748.pdf","grobid_xml":"https://content.openalex.org/works/W3033646748.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W2012329067","https://openalex.org/W2013623332","https://openalex.org/W2014352947","https://openalex.org/W2026019770","https://openalex.org/W2053044043","https://openalex.org/W2100960835","https://openalex.org/W2116666691","https://openalex.org/W2150000105","https://openalex.org/W2166481425","https://openalex.org/W2396394641","https://openalex.org/W2483215953","https://openalex.org/W2530395818","https://openalex.org/W2609237802","https://openalex.org/W2793477525","https://openalex.org/W2950018712","https://openalex.org/W3033646748","https://openalex.org/W3120740533","https://openalex.org/W3126806773","https://openalex.org/W4255375128","https://openalex.org/W4289293239","https://openalex.org/W4289438483","https://openalex.org/W6654170900","https://openalex.org/W6657162407","https://openalex.org/W6675359311","https://openalex.org/W6809680140"],"related_works":["https://openalex.org/W2734415684","https://openalex.org/W2165048824","https://openalex.org/W1980147927","https://openalex.org/W3186068795","https://openalex.org/W3124667545","https://openalex.org/W4212843477","https://openalex.org/W2254161145","https://openalex.org/W1482441085","https://openalex.org/W2966858528","https://openalex.org/W2151687600"],"abstract_inverted_index":{"Auditing":[0],"fairness":[1,16,40,103,118],"of":[2,24,32,35,59,72,101,124],"decision-makers":[3,37],"is":[4,27,54,62,157],"now":[5],"in":[6],"high":[7],"demand.":[8],"To":[9,120],"respond":[10],"to":[11,28,106,160],"this":[12,25,76,80],"social":[13,50],"demand,":[14],"several":[15],"auditing":[17,44,113],"tools":[18,45],"have":[19],"been":[20],"developed.":[21],"The":[22,52],"focus":[23,87],"study":[26],"raise":[29],"an":[30,112,130,140],"awareness":[31],"the":[33,43,49,60,66,70,92,99,122,125,132,149,153],"risk":[34,71],"malicious":[36],"who":[38,110],"fake":[39,73],"by":[41,152],"abusing":[42],"and":[46,104,164],"thereby":[47],"deceiving":[48],"communities.":[51],"question":[53,81],"whether":[55],"such":[56],"a":[57,89,95,108,117],"fraud":[58,150],"decision-maker":[61,93],"detectable":[63],"so":[64],"that":[65,115,136,148],"society":[67],"can":[68,137],"avoid":[69],"fairness.":[74],"In":[75],"study,":[77],"we":[78,127],"answer":[79],"negatively.":[82],"We":[83,146],"specifically":[84],"put":[85],"our":[86],"on":[88],"situation":[90],"where":[91],"publishes":[94],"benchmark":[96,142],"dataset":[97,143],"as":[98],"evidence":[100],"his/her":[102],"attempts":[105],"deceive":[107],"person":[109],"uses":[111],"tool":[114],"computes":[116],"metric.":[119],"assess":[121],"(un)detectability":[123],"fraud,":[126],"explicitly":[128],"construct":[129,139],"algorithm,":[131],"stealthily":[133,154],"biased":[134],"sampling,":[135],"deliberately":[138],"evil":[141],"via":[144],"subsampling.":[145],"show":[147],"made":[151],"based":[155],"sampling":[156],"indeed":[158],"difficult":[159],"detect":[161],"both":[162],"theoretically":[163],"empirically.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}