{"id":"https://openalex.org/W4399255184","doi":"https://doi.org/10.1145/3661638.3661680","title":"Technology Bias in the Intelligent Systems","display_name":"Technology Bias in the Intelligent Systems","publication_year":2023,"publication_date":"2023-12-22","ids":{"openalex":"https://openalex.org/W4399255184","doi":"https://doi.org/10.1145/3661638.3661680"},"language":"en","primary_location":{"id":"doi:10.1145/3661638.3661680","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3661638.3661680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Artificial Intelligence, Systems and Network Security","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/A5098971570","display_name":"Ping He","orcid":"https://orcid.org/0009-0002-2117-6729"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping He","raw_affiliation_strings":["Guilin University of Electronic Technology, China"],"raw_orcid":"https://orcid.org/0009-0002-2117-6729","affiliations":[{"raw_affiliation_string":"Guilin University of Electronic Technology, China","institution_ids":["https://openalex.org/I5343935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5098971571","display_name":"Jiapeng Shuang","orcid":"https://orcid.org/0009-0005-9293-4170"},"institutions":[{"id":"https://openalex.org/I5343935","display_name":"Guilin University of Electronic Technology","ror":"https://ror.org/05arjae42","country_code":"CN","type":"education","lineage":["https://openalex.org/I5343935"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiapeng Shuang","raw_affiliation_strings":["Guilin University of Electronic Technology, China"],"raw_orcid":"https://orcid.org/0009-0005-9293-4170","affiliations":[{"raw_affiliation_string":"Guilin University of Electronic Technology, China","institution_ids":["https://openalex.org/I5343935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I5343935"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"206","last_page":"210"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9538999795913696,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9538999795913696,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6912264823913574},{"id":"https://openalex.org/keywords/objectivity","display_name":"Objectivity (philosophy)","score":0.6910675168037415},{"id":"https://openalex.org/keywords/judgement","display_name":"Judgement","score":0.598382294178009},{"id":"https://openalex.org/keywords/intelligent-decision-support-system","display_name":"Intelligent decision support system","score":0.5941174030303955},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4921793043613434},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.48508086800575256},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43450817465782166},{"id":"https://openalex.org/keywords/human-in-the-loop","display_name":"Human-in-the-loop","score":0.4221426248550415},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34452033042907715},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.32480528950691223}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6912264823913574},{"id":"https://openalex.org/C2482559","wikidata":"https://www.wikidata.org/wiki/Q206330","display_name":"Objectivity (philosophy)","level":2,"score":0.6910675168037415},{"id":"https://openalex.org/C2776548248","wikidata":"https://www.wikidata.org/wiki/Q12621536","display_name":"Judgement","level":2,"score":0.598382294178009},{"id":"https://openalex.org/C56397880","wikidata":"https://www.wikidata.org/wiki/Q6044094","display_name":"Intelligent decision support system","level":2,"score":0.5941174030303955},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4921793043613434},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.48508086800575256},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43450817465782166},{"id":"https://openalex.org/C2780626000","wikidata":"https://www.wikidata.org/wiki/Q5936775","display_name":"Human-in-the-loop","level":2,"score":0.4221426248550415},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34452033042907715},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.32480528950691223},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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:10.1145/3661638.3661680","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3661638.3661680","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 International Conference on Artificial Intelligence, Systems and Network Security","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2083359632","https://openalex.org/W3009991004","https://openalex.org/W3112524593","https://openalex.org/W4220794904","https://openalex.org/W4225418980","https://openalex.org/W4319782183","https://openalex.org/W4377102358","https://openalex.org/W4378894751","https://openalex.org/W4384285170","https://openalex.org/W4385234984","https://openalex.org/W4385743398"],"related_works":["https://openalex.org/W2886802431","https://openalex.org/W4388216822","https://openalex.org/W1761762290","https://openalex.org/W4391191813","https://openalex.org/W4387575966","https://openalex.org/W2384262901","https://openalex.org/W2975214487","https://openalex.org/W651304006","https://openalex.org/W2004000661","https://openalex.org/W3202085196"],"abstract_inverted_index":{"Intelligent":[0],"systems":[1,31,50],"emulate":[2],"human":[3,16,33],"intelligence":[4],"by":[5,59,68,100],"learning":[6],"from":[7,82],"empirical":[8],"behavioral":[9],"data,":[10],"inevitably":[11],"inheriting":[12],"the":[13,29,45,64,79,83,117,128],"bias":[14,70,81,105],"of":[15,48,54,87,103,106,136],"society":[17],"or":[18,124,138],"historical":[19],"existence.":[20],"However,":[21],"it":[22],"is":[23],"always":[24],"a":[25,52,96,133],"common":[26],"consensus":[27],"that":[28,93],"intelligent":[30,49,88],"surpass":[32],"judgement":[34],"in":[35,72],"objectivity,":[36],"accuracy,":[37],"and":[38,51,113,116],"fairness.":[39],"Most":[40],"research":[41],"mainly":[42],"focuses":[43],"on":[44],"practical":[46],"application":[47],"series":[53],"social":[55],"apparent":[56],"problems":[57],"caused":[58,67],"their":[60],"application,":[61],"while":[62],"ignoring":[63],"hidden":[65],"problem":[66],"technical":[69,80,104],"existing":[71],"these":[73],"systems.":[74,89],"This":[75],"study":[76],"probed":[77],"into":[78],"four":[84],"main":[85],"programs":[86],"The":[90],"results":[91],"showed":[92],"there":[94],"was":[95],"self-reinforcing":[97],"loop":[98,118],"formed":[99],"varying":[101],"degrees":[102],"data":[107,109],"collection,":[108],"processing,":[110],"decision-making":[111],"process":[112],"feedback":[114],"mechanisms,":[115],"at":[119],"each":[120],"stage":[121],"would":[122],"escalate":[123],"exacerbate":[125],"according":[126],"to":[127],"dynamic":[129],"context,":[130],"thus":[131],"causing":[132],"wide":[134],"range":[135],"obvious":[137],"obscure":[139],"inequality.":[140]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
