{"id":"https://openalex.org/W2742108348","doi":"https://doi.org/10.24963/ijcai.2017/654","title":"Algorithmic Bias in Autonomous Systems","display_name":"Algorithmic Bias in Autonomous Systems","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2742108348","doi":"https://doi.org/10.24963/ijcai.2017/654","mag":"2742108348"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2017/654","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/654","pdf_url":"https://www.ijcai.org/proceedings/2017/0654.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.ijcai.org/proceedings/2017/0654.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021339534","display_name":"David Danks","orcid":"https://orcid.org/0000-0003-4541-5966"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Danks","raw_affiliation_strings":["Carnegie Mellon University","Departments of Philosophy & Psychology","Department of Philosophy, Carnegie Mellon University, Pittsburgh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Departments of Philosophy & Psychology","institution_ids":[]},{"raw_affiliation_string":"Department of Philosophy, Carnegie Mellon University, Pittsburgh","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042431726","display_name":"Alex John London","orcid":"https://orcid.org/0000-0002-6450-0309"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alex John London","raw_affiliation_strings":["Carnegie Mellon University","Department of Philosophy & Center for Ethics & Policy","Department of Philosophy, Center for Ethics and Policy, Carnegie Mellon University, Pittsburgh#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Department of Philosophy & Center for Ethics & Policy","institution_ids":[]},{"raw_affiliation_string":"Department of Philosophy, Center for Ethics and Policy, Carnegie Mellon University, Pittsburgh#TAB#","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":450,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4691","last_page":"4697"},"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":0.9990000128746033,"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":0.9990000128746033,"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/T12002","display_name":"Computability, Logic, AI Algorithms","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9853000044822693,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/pejorative","display_name":"Pejorative","score":0.7547978162765503},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7171505689620972},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6498568654060364},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6094138622283936},{"id":"https://openalex.org/keywords/confusion","display_name":"Confusion","score":0.5675749778747559},{"id":"https://openalex.org/keywords/taxonomy","display_name":"Taxonomy (biology)","score":0.5503097772598267},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4362157881259918},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.42564627528190613},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.42508190870285034},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3475602865219116},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1555364429950714},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.12247785925865173}],"concepts":[{"id":"https://openalex.org/C2777816766","wikidata":"https://www.wikidata.org/wiki/Q545779","display_name":"Pejorative","level":2,"score":0.7547978162765503},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7171505689620972},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6498568654060364},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6094138622283936},{"id":"https://openalex.org/C2781140086","wikidata":"https://www.wikidata.org/wiki/Q557945","display_name":"Confusion","level":2,"score":0.5675749778747559},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.5503097772598267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4362157881259918},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.42564627528190613},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.42508190870285034},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3475602865219116},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1555364429950714},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.12247785925865173},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C11171543","wikidata":"https://www.wikidata.org/wiki/Q41630","display_name":"Psychoanalysis","level":1,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2017/654","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/654","pdf_url":"https://www.ijcai.org/proceedings/2017/0654.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.24963/ijcai.2017/654","is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2017/654","pdf_url":"https://www.ijcai.org/proceedings/2017/0654.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2742108348.pdf","grobid_xml":"https://content.openalex.org/works/W2742108348.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W1819662813","https://openalex.org/W1969004079","https://openalex.org/W2026019770","https://openalex.org/W2076118331","https://openalex.org/W2522882154","https://openalex.org/W2569124586","https://openalex.org/W3123374861","https://openalex.org/W4251355323"],"related_works":["https://openalex.org/W407726117","https://openalex.org/W4256195016","https://openalex.org/W2105049767","https://openalex.org/W3034829002","https://openalex.org/W2424857442","https://openalex.org/W4379647899","https://openalex.org/W4386089222","https://openalex.org/W4211241620","https://openalex.org/W1977596320","https://openalex.org/W4403737437"],"abstract_inverted_index":{"Algorithms":[0],"play":[1],"a":[2,46,52,79,90,128],"key":[3],"role":[4],"in":[5,26,123],"the":[6,19,38,97,156,165,168],"functioning":[7,99],"of":[8,21,37,81,86,100,167],"autonomous":[9,101,161],"systems,":[10],"and":[11,35,55,61,66,84,118,126],"so":[12],"concerns":[13],"have":[14,29],"periodically":[15],"been":[16,30],"raised":[17],"about":[18,64],"possibility":[20],"algorithmic":[22,71,87,111,137,179],"bias.":[23,72,147,180],"However,":[24],"debates":[25],"this":[27,74,106],"area":[28],"hampered":[31],"by":[32,155],"different":[33,82,94],"meanings":[34],"uses":[36,164],"term,":[39,49,54],"\"bias.\"":[40],"It":[41],"is":[42,171],"sometimes":[43,50],"used":[44],"as":[45,51],"purely":[47],"descriptive":[48],"pejorative":[53],"such":[56],"variations":[57],"can":[58,141],"promote":[59],"confusion":[60],"hamper":[62],"discussions":[63],"when":[65],"how":[67],"to":[68,70,108,143,178],"respond":[69],"In":[73,130,148],"paper,":[75],"we":[76],"first":[77],"provide":[78],"taxonomy":[80,107],"types":[83],"sources":[85],"bias,":[88],"with":[89],"focus":[91],"on":[92,96],"their":[93],"impacts":[95],"proper":[98],"systems.":[102],"We":[103],"then":[104],"use":[105,142],"distinguish":[109],"between":[110],"biases":[112],"that":[113,120,139],"are":[114,121,134],"neutral":[115],"or":[116,136,160],"unobjectionable,":[117],"those":[119],"problematic":[122,146],"some":[124,131],"way":[125],"require":[127,153],"response.":[129],"cases,":[132,150],"there":[133],"technological":[135],"adjustments":[138,154],"developers":[140],"compensate":[144],"for":[145],"other":[149],"however,":[151],"responses":[152],"agent,":[157],"whether":[158],"human":[159],"system,":[162],"who":[163],"results":[166],"algorithm.":[169],"There":[170],"no":[172],"\"one":[173],"size":[174],"fits":[175],"all\"":[176],"solution":[177]},"counts_by_year":[{"year":2026,"cited_by_count":22},{"year":2025,"cited_by_count":56},{"year":2024,"cited_by_count":70},{"year":2023,"cited_by_count":79},{"year":2022,"cited_by_count":79},{"year":2021,"cited_by_count":69},{"year":2020,"cited_by_count":44},{"year":2019,"cited_by_count":21},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2025-10-10T00:00:00"}