{"id":"https://openalex.org/W3081238989","doi":"https://doi.org/10.1145/3394486.3406707","title":"Intelligible and Explainable Machine Learning","display_name":"Intelligible and Explainable Machine Learning","publication_year":2020,"publication_date":"2020-08-20","ids":{"openalex":"https://openalex.org/W3081238989","doi":"https://doi.org/10.1145/3394486.3406707","mag":"3081238989"},"language":"en","primary_location":{"id":"doi:10.1145/3394486.3406707","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394486.3406707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","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/A5083893060","display_name":"Rich Caruana","orcid":"https://orcid.org/0000-0002-6383-7786"},"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":"Rich Caruana","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024995037","display_name":"Scott Lundberg","orcid":"https://orcid.org/0000-0001-6280-0941"},"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":"Scott Lundberg","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019726734","display_name":"Marco T\u00falio Ribeiro","orcid":"https://orcid.org/0000-0002-3301-1297"},"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":"Marco Tulio Ribeiro","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050672320","display_name":"Harsha Nori","orcid":"https://orcid.org/0000-0002-5442-1359"},"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":"Harsha Nori","raw_affiliation_strings":["Microsoft Research, Redmond, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055907902","display_name":"Samuel Jenkins","orcid":null},"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":"Samuel Jenkins","raw_affiliation_strings":["Microsoft Corporation, Redmond, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Corporation, Redmond, WA, USA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1290206253"],"apc_list":null,"apc_paid":null,"fwci":5.1466,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.96251862,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3511","last_page":"3512"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9857000112533569,"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":0.9857000112533569,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.936286211013794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7881234884262085},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7142963409423828},{"id":"https://openalex.org/keywords/debugging","display_name":"Debugging","score":0.6888360977172852},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6606146693229675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6599234938621521},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.5083896517753601},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4965060353279114},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4655526280403137},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.42705368995666504}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.936286211013794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7881234884262085},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7142963409423828},{"id":"https://openalex.org/C168065819","wikidata":"https://www.wikidata.org/wiki/Q845566","display_name":"Debugging","level":2,"score":0.6888360977172852},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6606146693229675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6599234938621521},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.5083896517753601},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4965060353279114},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4655526280403137},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.42705368995666504},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3394486.3406707","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394486.3406707","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4377865163","https://openalex.org/W4385957992","https://openalex.org/W3129898729","https://openalex.org/W4229079080","https://openalex.org/W4206534706","https://openalex.org/W4381383350","https://openalex.org/W3006943036","https://openalex.org/W4299487748","https://openalex.org/W3037743169","https://openalex.org/W4316116336"],"abstract_inverted_index":{"Learning":[0],"methods":[1,115,192,206],"such":[2,89,152],"as":[3,90,153],"boosting":[4],"and":[5,15,21,36,44,59,70,79,85,97,100,116,156,158,166,173,182,203,207],"deep":[6],"learning":[7,175,190],"have":[8],"made":[9],"ML":[10,22,95],"models":[11,58,69,84],"harder":[12],"to":[13,30,64,82,124,184,209,213],"understand":[14],"interpret.":[16],"This":[17],"puts":[18],"data":[19,76,171],"scientists":[20],"developers":[23],"in":[24,39,142],"the":[25,92,98,126,138,170],"position":[26],"of":[27,94,102,112,140,147,188,196],"often":[28],"having":[29],"make":[31,72],"a":[32,118,145,186],"tradeoff":[33],"between":[34,201],"accuracy":[35],"intelligibility.":[37],"Research":[38],"IML":[40],"(Interpretable":[41],"Machine":[42],"Learning)":[43],"XAI":[45,141],"(Explainable":[46],"AI)":[47],"focus":[48,136],"on":[49,137],"minimizing":[50],"this":[51,106],"trade-off":[52],"by":[53,60],"developing":[54,61],"more":[55],"accurate":[56],"interpretable":[57],"new":[62],"techniques":[63,71],"explain":[65],"black-box":[66,204],"models.":[67],"Such":[68],"it":[73],"easier":[74],"for":[75,120,130,169],"scientists,":[77],"engineers":[78],"model":[80],"users":[81],"debug":[83],"achieve":[86],"important":[87],"objectives":[88],"ensuring":[91],"fairness":[93],"decisions":[96],"reliability":[99],"safety":[101],"AI":[103],"systems.":[104],"In":[105],"tutorial,":[107],"we":[108,161],"present":[109,163],"an":[110],"overview":[111],"various":[113],"interpretability":[114,191,217],"provide":[117],"framework":[119],"thinking":[121],"about":[122],"how":[123,183],"choose":[125],"right":[127],"explanation":[128,205],"method":[129],"different":[131],"real-world":[132,197],"scenarios.":[133],"We":[134],"will":[135,162,179],"application":[139],"practice":[143],"through":[144,193],"variety":[146,187],"case":[148,194],"studies":[149,195],"from":[150],"domains":[151],"healthcare,":[154],"finance,":[155],"bias":[157],"fairness.":[159],"Finally,":[160],"open":[164,215],"problems":[165],"research":[167],"directions":[168],"mining":[172],"machine":[174,189],"community.":[176],"What":[177],"audience":[178],"learn:":[180],"When":[181],"use":[185,210,214],"situations.":[198],"The":[199],"difference":[200],"glass-box":[202],"when":[208],"them.":[211],"How":[212],"source":[216],"toolkits":[218],"that":[219],"are":[220],"now":[221],"available":[222]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":23},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}