{"id":"https://openalex.org/W4380318885","doi":"https://doi.org/10.1145/3593013.3593970","title":"Machine Explanations and Human Understanding","display_name":"Machine Explanations and Human Understanding","publication_year":2023,"publication_date":"2023-06-12","ids":{"openalex":"https://openalex.org/W4380318885","doi":"https://doi.org/10.1145/3593013.3593970"},"language":"en","primary_location":{"id":"doi:10.1145/3593013.3593970","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3593013.3593970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 ACM Conference on Fairness, Accountability, and Transparency","raw_type":"proceedings-article"},"type":"article","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/A5028711697","display_name":"Chacha Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chacha Chen","raw_affiliation_strings":["The University of Chicago, USA"],"affiliations":[{"raw_affiliation_string":"The University of Chicago, USA","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089083537","display_name":"Shi Feng","orcid":"https://orcid.org/0009-0001-1685-8912"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shi Feng","raw_affiliation_strings":["The University of Chicago, USA"],"affiliations":[{"raw_affiliation_string":"The University of Chicago, USA","institution_ids":["https://openalex.org/I40347166"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103213915","display_name":"Amit Sharma","orcid":"https://orcid.org/0000-0002-2086-3191"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amit Sharma","raw_affiliation_strings":["Microsoft, USA"],"affiliations":[{"raw_affiliation_string":"Microsoft, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079270249","display_name":"Chenhao Tan","orcid":"https://orcid.org/0000-0002-3981-2116"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chenhao Tan","raw_affiliation_strings":["University of Chicago, USA"],"affiliations":[{"raw_affiliation_string":"University of Chicago, USA","institution_ids":["https://openalex.org/I40347166"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5028711697"],"corresponding_institution_ids":["https://openalex.org/I40347166"],"apc_list":null,"apc_paid":null,"fwci":1.9231,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.88508242,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9988999962806702,"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":0.9988999962806702,"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/T10315","display_name":"Decision-Making and Behavioral Economics","score":0.9538000226020813,"subfield":{"id":"https://openalex.org/subfields/1800","display_name":"General Decision Sciences"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9495999813079834,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6846736669540405},{"id":"https://openalex.org/keywords/intuition","display_name":"Intuition","score":0.5963943600654602},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4892875850200653},{"id":"https://openalex.org/keywords/emulation","display_name":"Emulation","score":0.46131277084350586},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.44968244433403015},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4276651442050934},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.426530122756958},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3954811692237854},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.3262588679790497},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.2882150709629059},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.21352910995483398},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.1528816521167755},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.12078016996383667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6846736669540405},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.5963943600654602},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4892875850200653},{"id":"https://openalex.org/C149810388","wikidata":"https://www.wikidata.org/wiki/Q5374873","display_name":"Emulation","level":2,"score":0.46131277084350586},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.44968244433403015},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4276651442050934},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.426530122756958},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3954811692237854},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.3262588679790497},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.2882150709629059},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.21352910995483398},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.1528816521167755},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.12078016996383667},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3593013.3593970","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3593013.3593970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 ACM Conference on Fairness, Accountability, and Transparency","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G5631940331","display_name":null,"funder_award_id":"2040989","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2154523322","https://openalex.org/W2083200807","https://openalex.org/W2364195017","https://openalex.org/W2049983405","https://openalex.org/W2355430452","https://openalex.org/W1603137082","https://openalex.org/W2392315374","https://openalex.org/W1951195060","https://openalex.org/W2351776620","https://openalex.org/W4386651600"],"abstract_inverted_index":{"Explanations":[0],"are":[1,122,138],"hypothesized":[2],"to":[3,22,186],"improve":[4,47,157,166],"human":[5,24,48,97,110,136,153,158,167,183,191],"understanding":[6,49,159,168],"of":[7,15,70,90,101,109,160,169,190,211,214,220],"machine":[8,144,215],"learning":[9],"models":[10],"and":[11,33,50,78,96,119,142],"achieve":[12],"a":[13,87,200,208],"variety":[14],"desirable":[16],"outcomes,":[17],"ranging":[18],"from":[19],"model":[20,75,79,161,174],"debugging":[21],"enhancing":[23],"decision":[25,73,76,148,162,171,222],"making.":[26,223],"However,":[27],"empirical":[28],"studies":[29,185,206],"have":[30],"found":[31],"mixed":[32],"even":[34],"negative":[35],"results.":[36],"An":[37],"open":[38],"question,":[39,57],"therefore,":[40],"is":[41,134],"under":[42],"what":[43,52],"conditions":[44],"explanations":[45,145,155,216],"can":[46],"in":[51,112,146],"way.":[53],"To":[54,176],"address":[55],"this":[56],"we":[58,85,181,198],"first":[59],"identify":[60],"three":[61],"core":[62],"concepts":[63,95],"that":[64,135],"cover":[65],"most":[66],"existing":[67],"quantitative":[68],"measures":[69],"understanding:":[71],"task":[72,114,170],"boundary,":[74,77,163],"error.":[80,175],"Using":[81],"adapted":[82],"causal":[83],"diagrams,":[84],"provide":[86,199],"formal":[88],"characterization":[89],"the":[91,107,188,212],"relationship":[92,104],"between":[93],"these":[94],"approximations":[98],"(i.e.,":[99],"understanding)":[100],"them.":[102],"The":[103],"varies":[105],"by":[106],"level":[108],"intuition":[111],"different":[113,218],"types,":[115],"such":[116],"as":[117],"emulation":[118],"discovery,":[120],"which":[121],"often":[123],"ignored":[124],"when":[125],"building":[126],"or":[127,173],"evaluating":[128,143],"explanation":[129],"methods.":[130],"Our":[131],"key":[132],"result":[133],"intuitions":[137],"necessary":[139],"for":[140,203],"generating":[141],"human-AI":[147,221],"making:":[149],"without":[150],"assumptions":[151],"about":[152],"intuitions,":[154],"may":[156],"but":[164],"cannot":[165],"boundary":[172],"validate":[177],"our":[178,195],"theoretical":[179,196],"claims,":[180],"conduct":[182],"subject":[184],"show":[187],"importance":[189],"intuitions.":[192],"Together":[193],"with":[194],"contributions,":[197],"new":[201],"paradigm":[202],"designing":[204],"behavioral":[205],"towards":[207],"rigorous":[209],"view":[210],"role":[213],"across":[217],"tasks":[219]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}