{"id":"https://openalex.org/W4283205120","doi":"https://doi.org/10.1145/3514094.3534156","title":"Explainability's Gain is Optimality's Loss?","display_name":"Explainability's Gain is Optimality's Loss?","publication_year":2022,"publication_date":"2022-07-26","ids":{"openalex":"https://openalex.org/W4283205120","doi":"https://doi.org/10.1145/3514094.3534156"},"language":"en","primary_location":{"id":"doi:10.1145/3514094.3534156","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3514094.3534156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2206.08705","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041057642","display_name":"Charles Wan","orcid":"https://orcid.org/0000-0001-8284-1353"},"institutions":[{"id":"https://openalex.org/I913958620","display_name":"Erasmus University Rotterdam","ror":"https://ror.org/057w15z03","country_code":"NL","type":"education","lineage":["https://openalex.org/I913958620"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Charles Wan","raw_affiliation_strings":["Rotterdam School of Management, Erasmus University, Rotterdam, Netherlands"],"affiliations":[{"raw_affiliation_string":"Rotterdam School of Management, Erasmus University, Rotterdam, Netherlands","institution_ids":["https://openalex.org/I913958620"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013818609","display_name":"Rodrigo Belo","orcid":"https://orcid.org/0000-0001-6839-5086"},"institutions":[{"id":"https://openalex.org/I83558840","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89","country_code":"PT","type":"education","lineage":["https://openalex.org/I83558840"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Rodrigo Belo","raw_affiliation_strings":["Nova School of Business and Economics, Universidade Nova de Lisboa &amp; Rotterdam School of Management, Erasmus University, Carcavelos, Portugal"],"affiliations":[{"raw_affiliation_string":"Nova School of Business and Economics, Universidade Nova de Lisboa &amp; Rotterdam School of Management, Erasmus University, Carcavelos, Portugal","institution_ids":["https://openalex.org/I83558840"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034557498","display_name":"Leid Zejnilovi\u0107","orcid":"https://orcid.org/0000-0002-4209-4637"},"institutions":[{"id":"https://openalex.org/I83558840","display_name":"Universidade Nova de Lisboa","ror":"https://ror.org/02xankh89","country_code":"PT","type":"education","lineage":["https://openalex.org/I83558840"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Leid Zejnilovic","raw_affiliation_strings":["Nova School of Business and Economics, Universidade Nova de Lisboa, Carcavelos, Portugal"],"affiliations":[{"raw_affiliation_string":"Nova School of Business and Economics, Universidade Nova de Lisboa, Carcavelos, Portugal","institution_ids":["https://openalex.org/I83558840"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041057642"],"corresponding_institution_ids":["https://openalex.org/I913958620"],"apc_list":null,"apc_paid":null,"fwci":0.1389,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53157612,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"778","last_page":"787"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9976000189781189,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9976000189781189,"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/T11891","display_name":"Big Data and Business Intelligence","score":0.9743000268936157,"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"}},{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9596999883651733,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/decision-maker","display_name":"Decision maker","score":0.6782442927360535},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6626949906349182},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5748814940452576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5328842401504517},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5164837837219238},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5045799016952515},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.49189138412475586},{"id":"https://openalex.org/keywords/optimal-decision","display_name":"Optimal decision","score":0.45030108094215393},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4103851914405823},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.21799343824386597},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.16219422221183777},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13902506232261658},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10394200682640076}],"concepts":[{"id":"https://openalex.org/C2986080485","wikidata":"https://www.wikidata.org/wiki/Q1331926","display_name":"Decision maker","level":2,"score":0.6782442927360535},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6626949906349182},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5748814940452576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5328842401504517},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5164837837219238},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5045799016952515},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.49189138412475586},{"id":"https://openalex.org/C150325174","wikidata":"https://www.wikidata.org/wiki/Q4335500","display_name":"Optimal decision","level":3,"score":0.45030108094215393},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4103851914405823},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.21799343824386597},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.16219422221183777},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13902506232261658},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10394200682640076},{"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3514094.3534156","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3514094.3534156","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.eur.nl:openaire_cris_publications/ff86201c-4959-4ea4-9471-3ec40e5d91df","is_oa":false,"landing_page_url":"https://pure.eur.nl/en/publications/ff86201c-4959-4ea4-9471-3ec40e5d91df","pdf_url":null,"source":{"id":"https://openalex.org/S4306401266","display_name":"EUR Research Repository (Erasmus University Rotterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I913958620","host_organization_name":"Erasmus University Rotterdam","host_organization_lineage":["https://openalex.org/I913958620"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Wan, C, Crisostomo Pereira Belo, R & Zejnilovi\u0107, L 2022, Explainability's Gain is Optimality's Loss? \u2014 How Explanations Bias Decision-making. in AIES 2022 - Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society. Association for Computing Machinery (ACM), New York, NY, United States, pp. 778-787. https://doi.org/10.1145/3514094.3534156","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:arXiv.org:2206.08705","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2206.08705","pdf_url":"https://arxiv.org/pdf/2206.08705","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:pure.eur.nl:publications/ff86201c-4959-4ea4-9471-3ec40e5d91df","is_oa":false,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85137160860&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306401266","display_name":"EUR Research Repository (Erasmus University Rotterdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I913958620","host_organization_name":"Erasmus University Rotterdam","host_organization_lineage":["https://openalex.org/I913958620"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Wan , C , Crisostomo Pereira Belo , R &amp; Zejnilovi\u0107 , L 2022 , Explainability's Gain is Optimality's Loss? \u2014 How Explanations Bias Decision-making . in AIES 2022 - Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society . Association for Computing Machinery , New York, NY, United States , pp. 778-787 . https://doi.org/10.1145/3514094.3534156","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2206.08705","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2206.08705","pdf_url":"https://arxiv.org/pdf/2206.08705","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.800000011920929,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1581658097","https://openalex.org/W2010158189","https://openalex.org/W2041029272","https://openalex.org/W2076034566","https://openalex.org/W2115769109","https://openalex.org/W2119991646","https://openalex.org/W2171033594","https://openalex.org/W2282821441","https://openalex.org/W2295598076","https://openalex.org/W2339358951","https://openalex.org/W2516809705","https://openalex.org/W2657631929","https://openalex.org/W2776393547","https://openalex.org/W2788481061","https://openalex.org/W2889926785","https://openalex.org/W2909392392","https://openalex.org/W2950966466","https://openalex.org/W2962681511","https://openalex.org/W2999615587","https://openalex.org/W3014590323","https://openalex.org/W3018216063","https://openalex.org/W3121705224","https://openalex.org/W3122149192","https://openalex.org/W3124059580","https://openalex.org/W3125306662","https://openalex.org/W3125633690","https://openalex.org/W3134225450","https://openalex.org/W3134452474","https://openalex.org/W3167062819","https://openalex.org/W3181414820","https://openalex.org/W3188682981","https://openalex.org/W3209901185","https://openalex.org/W3212353456","https://openalex.org/W4205420544","https://openalex.org/W4206387912","https://openalex.org/W4230325888","https://openalex.org/W4245365549","https://openalex.org/W4287864753","https://openalex.org/W4294541781","https://openalex.org/W4295297725","https://openalex.org/W4296978576","https://openalex.org/W4402843978"],"related_works":["https://openalex.org/W2179412118","https://openalex.org/W3004290704","https://openalex.org/W2035020944","https://openalex.org/W4384009201","https://openalex.org/W293121647","https://openalex.org/W2086669880","https://openalex.org/W1989003908","https://openalex.org/W3122587586","https://openalex.org/W3125104120","https://openalex.org/W2610430179"],"abstract_inverted_index":{"Decisions":[0],"in":[1,115],"organizations":[2],"are":[3,38],"about":[4],"evaluating":[5],"alternatives":[6,24],"and":[7,57,69,108,124],"choosing":[8],"the":[9,18,21,44,47,55,58,65,73,78,90,112,116],"one":[10],"that":[11,20],"would":[12],"best":[13],"serve":[14],"organizational":[15],"goals.":[16],"To":[17],"extent":[19],"evaluation":[22],"of":[23,46,75,83],"could":[25],"be":[26],"formulated":[27],"as":[28],"a":[29,97],"predictive":[30],"task":[31],"with":[32],"appropriate":[33],"metrics,":[34],"machine":[35],"learning":[36],"algorithms":[37],"increasingly":[39],"being":[40],"used":[41],"to":[42,51,67,105,122],"improve":[43],"efficiency":[45],"process.":[48],"Explanations":[49],"help":[50],"facilitate":[52],"communication":[53],"between":[54],"algorithm":[56],"human":[59],"decision-maker,":[60],"making":[61],"it":[62],"easier":[63],"for":[64],"latter":[66],"interpret":[68],"make":[70],"decisions":[71],"on":[72,111],"basis":[74],"predictions":[76],"by":[77],"former.":[79],"Feature-based":[80],"explanations'":[81],"semantics":[82],"causal":[84],"models,":[85],"however,":[86],"induce":[87],"leakage":[88],"from":[89,96],"decision-maker's":[91,113],"prior":[92],"beliefs.":[93],"Our":[94],"findings":[95],"field":[98],"experiment":[99],"demonstrate":[100],"empirically":[101],"how":[102],"this":[103],"leads":[104],"confirmation":[106],"bias":[107],"disparate":[109],"impact":[110],"confidence":[114],"predictions.":[117],"Such":[118],"differences":[119],"can":[120],"lead":[121],"sub-optimal":[123],"biased":[125],"decision":[126],"outcomes.":[127]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2022-06-22T00:00:00"}
