{"id":"https://openalex.org/W4283727933","doi":"https://doi.org/10.1145/3535511.3535512","title":"Machine Learning post-hoc interpretability: a systematic mapping study","display_name":"Machine Learning post-hoc interpretability: a systematic mapping study","publication_year":2022,"publication_date":"2022-05-16","ids":{"openalex":"https://openalex.org/W4283727933","doi":"https://doi.org/10.1145/3535511.3535512"},"language":"en","primary_location":{"id":"doi:10.1145/3535511.3535512","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3535511.3535512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"XVIII Brazilian Symposium on Information Systems","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/A5032099813","display_name":"Carla Piazzon Vieira","orcid":null},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Carla Piazzon Vieira","raw_affiliation_strings":["School of Arts, Sciences and Humanities, University of Sao Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"School of Arts, Sciences and Humanities, University of Sao Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080238381","display_name":"Luciano Ant\u00f4nio Digiampietri","orcid":"https://orcid.org/0000-0003-4890-1548"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luciano Antonio Digiampietri","raw_affiliation_strings":["School of Arts, Sciences and Humanities, University of Sao Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"School of Arts, Sciences and Humanities, University of Sao Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032099813"],"corresponding_institution_ids":["https://openalex.org/I17974374"],"apc_list":null,"apc_paid":null,"fwci":1.5281,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.85240865,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9994000196456909,"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":0.9994000196456909,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9940000176429749,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9830999970436096,"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":0.922143280506134},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7168622612953186},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6187080144882202},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5956246256828308},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.593201756477356},{"id":"https://openalex.org/keywords/sociotechnical-system","display_name":"Sociotechnical system","score":0.5445021986961365},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4887804687023163},{"id":"https://openalex.org/keywords/interdependence","display_name":"Interdependence","score":0.4827708303928375},{"id":"https://openalex.org/keywords/debugging","display_name":"Debugging","score":0.4456577003002167},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.432546466588974},{"id":"https://openalex.org/keywords/usable","display_name":"USable","score":0.4121028780937195},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.3645663261413574},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11820542812347412}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.922143280506134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7168622612953186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6187080144882202},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5956246256828308},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.593201756477356},{"id":"https://openalex.org/C127627568","wikidata":"https://www.wikidata.org/wiki/Q1639361","display_name":"Sociotechnical system","level":2,"score":0.5445021986961365},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4887804687023163},{"id":"https://openalex.org/C185874996","wikidata":"https://www.wikidata.org/wiki/Q269699","display_name":"Interdependence","level":2,"score":0.4827708303928375},{"id":"https://openalex.org/C168065819","wikidata":"https://www.wikidata.org/wiki/Q845566","display_name":"Debugging","level":2,"score":0.4456577003002167},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.432546466588974},{"id":"https://openalex.org/C2780615836","wikidata":"https://www.wikidata.org/wiki/Q2471869","display_name":"USable","level":2,"score":0.4121028780937195},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.3645663261413574},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11820542812347412},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3535511.3535512","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3535511.3535512","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"XVIII Brazilian Symposium on Information Systems","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":22,"referenced_works":["https://openalex.org/W2110101012","https://openalex.org/W2282821441","https://openalex.org/W2493343568","https://openalex.org/W2750812801","https://openalex.org/W2782999771","https://openalex.org/W2810511505","https://openalex.org/W2914304175","https://openalex.org/W2945151003","https://openalex.org/W2945295328","https://openalex.org/W2953487715","https://openalex.org/W2955041946","https://openalex.org/W2959587146","https://openalex.org/W2963399068","https://openalex.org/W2964303497","https://openalex.org/W2964449086","https://openalex.org/W2981731882","https://openalex.org/W3003545719","https://openalex.org/W3005086430","https://openalex.org/W3013149459","https://openalex.org/W3023774688","https://openalex.org/W3104149808","https://openalex.org/W4288083796"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W1980714815","https://openalex.org/W3133630643","https://openalex.org/W4390569940","https://openalex.org/W608490485","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W2481729736","https://openalex.org/W4310278675","https://openalex.org/W2236208621"],"abstract_inverted_index":{"Context:":[0],"In":[1],"the":[2,40,46,87,101,104,155,166,186,198,205,211,258],"pre-algorithm":[3],"world,":[4],"humans":[5],"and":[6,12,50,64,77,114,119,125,189,195,230,242],"organizations":[7],"made":[8,22],"decisions":[9,19],"in":[10,38,138,185,197,257],"hiring":[11],"criminal":[13],"sentencing.":[14],"Nowadays,":[15],"some":[16,35],"of":[17,42,48,86,103,130,149,157,191,204,217,246],"these":[18],"are":[20,62,122,160],"entirely":[21],"or":[23],"influenced":[24],"by":[25,165,220,236],"Machine":[26],"Learning":[27],"algorithms.":[28],"Problem:":[29],"Research":[30],"is":[31,181,207],"starting":[32],"to":[33,73,208],"reveal":[34],"troubling":[36],"examples":[37],"which":[39,68],"reality":[41],"algorithmic":[43,59],"decision-making":[44],"runs":[45],"risk":[47],"replicating":[49],"even":[51],"amplifying":[52],"human":[53],"biases.":[54],"Along":[55],"with":[56],"that,":[57,153],"most":[58],"decision":[60],"systems":[61,109],"opaque":[63],"not":[65,161],"interpretable":[66,192,226],"-":[67],"makes":[69],"it":[70],"more":[71],"difficult":[72],"detect":[74],"potential":[75],"biases":[76],"mitigate":[78],"them.":[79],"Solution:":[80],"This":[81,96],"paper":[82,206],"reports":[83],"an":[84,252],"overview":[85,136],"current":[88],"literature":[89],"on":[90],"machine":[91],"learning":[92],"interpretability.":[93],"IS":[94,199],"Theory:":[95],"work":[97],"was":[98],"conceived":[99],"under":[100],"aegis":[102],"Sociotechnical":[105],"theory.":[106],"Artificial":[107],"Intelligence":[108],"can":[110,249],"only":[111],"be":[112],"understood":[113],"improved":[115],"if":[116],"both":[117],"\u2018social\u2019":[118],"\u2018technical\u2019":[120],"aspects":[121],"brought":[123],"together":[124],"treated":[126],"as":[127,176,210,223,251],"interdependent":[128],"parts":[129],"a":[131,144,177,183,215,244],"complex":[132],"system.":[133],"Method:":[134],"The":[135,201],"presented":[137],"this":[139],"article":[140],"has":[141],"resulted":[142],"from":[143],"systematic":[145],"mapping":[146],"study.":[147],"Summary":[148],"Results:":[150],"We":[151,234],"find":[152],"currently,":[154],"majority":[156],"XAI":[158],"studies":[159],"for":[162,170,214,254],"end-users":[163],"affected":[164],"model":[167],"but":[168],"rather":[169],"data":[171],"scientists":[172],"who":[173],"use":[174],"explainability":[175,241],"debugging":[178],"tool.":[179],"There":[180],"thus":[182],"gap":[184],"quality":[187],"assessment":[188],"deployment":[190],"methods.":[193,233],"Contributions":[194],"Impact":[196],"area:":[200],"main":[202],"contribution":[203],"serve":[209,250],"motivating":[212],"background":[213],"series":[216,245],"challenges":[218],"faced":[219],"XAI,":[221],"such":[222],"combining":[224],"different":[225],"methods,":[227],"evaluating":[228],"interpretability,":[229],"building":[231],"human-centered":[232],"end":[235],"discussing":[237],"concerns":[238],"raised":[239],"regarding":[240],"presenting":[243],"questions":[247],"that":[248],"agenda":[253],"future":[255],"research":[256],"field.":[259]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-10-10T00:00:00"}
