{"id":"https://openalex.org/W2994056986","doi":"https://doi.org/10.1145/3351095.3372836","title":"Robustness in machine learning explanations","display_name":"Robustness in machine learning explanations","publication_year":2020,"publication_date":"2020-01-27","ids":{"openalex":"https://openalex.org/W2994056986","doi":"https://doi.org/10.1145/3351095.3372836","mag":"2994056986"},"language":"en","primary_location":{"id":"doi:10.1145/3351095.3372836","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3351095.3372836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 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/A5017113404","display_name":"Leif Hancox-Li","orcid":"https://orcid.org/0009-0006-1355-9104"},"institutions":[{"id":"https://openalex.org/I1305444813","display_name":"Capital One (United States)","ror":"https://ror.org/00svp7168","country_code":"US","type":"company","lineage":["https://openalex.org/I1305444813"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Leif Hancox-Li","raw_affiliation_strings":["Capital One"],"affiliations":[{"raw_affiliation_string":"Capital One","institution_ids":["https://openalex.org/I1305444813"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5017113404"],"corresponding_institution_ids":["https://openalex.org/I1305444813"],"apc_list":null,"apc_paid":null,"fwci":6.9938,"has_fulltext":false,"cited_by_count":78,"citation_normalized_percentile":{"value":0.9748563,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"640","last_page":"647"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9905999898910522,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9656000137329102,"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/robustness","display_name":"Robustness (evolution)","score":0.8433427810668945},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6633586883544922},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48355814814567566},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.45736441016197205},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.43292877078056335},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37884771823883057},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.356492817401886},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.16498494148254395},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.11423662304878235}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8433427810668945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6633586883544922},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48355814814567566},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.45736441016197205},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.43292877078056335},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37884771823883057},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.356492817401886},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.16498494148254395},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.11423662304878235},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3351095.3372836","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3351095.3372836","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency","raw_type":"proceedings-article"},{"id":"pmh:oai:philsci-archive.pitt.edu:16686","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401282","display_name":"PhilSci-Archive (University of Pittsburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I170201317","host_organization_name":"University of Pittsburgh","host_organization_lineage":["https://openalex.org/I170201317"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"NonPeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W23972503","https://openalex.org/W255661142","https://openalex.org/W1731081199","https://openalex.org/W1966647018","https://openalex.org/W1986345507","https://openalex.org/W1996796871","https://openalex.org/W2024509488","https://openalex.org/W2084341220","https://openalex.org/W2101630074","https://openalex.org/W2101809869","https://openalex.org/W2112924652","https://openalex.org/W2248060815","https://openalex.org/W2282821441","https://openalex.org/W2531099434","https://openalex.org/W2560674852","https://openalex.org/W2563459986","https://openalex.org/W2617799811","https://openalex.org/W2618851150","https://openalex.org/W2809671526","https://openalex.org/W2897154134","https://openalex.org/W2898694742","https://openalex.org/W2909062687","https://openalex.org/W2911495555","https://openalex.org/W2912477312","https://openalex.org/W2945976633","https://openalex.org/W2953148557","https://openalex.org/W2959587146","https://openalex.org/W2962862931","https://openalex.org/W2969476445","https://openalex.org/W2985958369","https://openalex.org/W3122175177","https://openalex.org/W3200416042","https://openalex.org/W4212987486","https://openalex.org/W4230736257","https://openalex.org/W4243365396","https://openalex.org/W4285719527","https://openalex.org/W6609562461"],"related_works":["https://openalex.org/W2770593030","https://openalex.org/W3154990682","https://openalex.org/W2560201613","https://openalex.org/W2171975302","https://openalex.org/W2022352247","https://openalex.org/W2488129135","https://openalex.org/W4312219546","https://openalex.org/W2377538627","https://openalex.org/W2107220315","https://openalex.org/W1589637664"],"abstract_inverted_index":{"The":[0,77],"explainable":[1],"AI":[2],"literature":[3],"contains":[4],"multiple":[5],"notions":[6],"of":[7,21,79],"what":[8,13],"an":[9],"explanation":[10],"is":[11,23,62,120],"and":[12],"desiderata":[14],"explanations":[15,27,49,92],"should":[16,28],"satisfy.":[17],"One":[18],"implicit":[19],"source":[20],"disagreement":[22,39],"how":[24,47],"far":[25],"the":[26,33,36,55,65,75,85,102,117],"reflect":[29],"real":[30,72,80,110],"patterns":[31,73,81],"in":[32,54,74],"data":[34],"or":[35,123],"world.":[37,76],"This":[38],"underlies":[40],"debates":[41],"about":[42,70,101,108],"other":[43],"desiderata,":[44],"such":[45],"as":[46],"robust":[48],"are":[50],"to":[51,64,84,104],"slight":[52],"perturbations":[53],"input":[56],"data.":[57],"I":[58],"argue":[59],"that":[60,67],"robustness":[61],"desirable":[63],"extent":[66,103],"we're":[68],"concerned":[69],"finding":[71],"import":[78],"differs":[82],"according":[83],"problem":[86],"context.":[87],"In":[88],"some":[89],"contexts,":[90],"non-robust":[91],"can":[93,113],"constitute":[94],"a":[95,121,124],"moral":[96],"hazard.":[97],"By":[98],"being":[99],"clear":[100],"which":[105],"we":[106,112],"care":[107],"capturing":[109],"patterns,":[111],"also":[114],"determine":[115],"whether":[116],"Rashomon":[118],"Effect":[119],"boon":[122],"bane.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":8}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}