{"id":"https://openalex.org/W4288083797","doi":"https://doi.org/10.1145/3351095.3372870","title":"Explainability fact sheets","display_name":"Explainability fact sheets","publication_year":2020,"publication_date":"2020-01-23","ids":{"openalex":"https://openalex.org/W4288083797","doi":"https://doi.org/10.1145/3351095.3372870"},"language":"en","primary_location":{"id":"doi:10.1145/3351095.3372870","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3351095.3372870","pdf_url":"https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3351095.3372870&file=p56-sokol-supp.pdf&download=true","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":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3351095.3372870&file=p56-sokol-supp.pdf&download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083819794","display_name":"Kacper Sokol","orcid":"https://orcid.org/0000-0002-9869-5896"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Kacper Sokol","raw_affiliation_strings":["University of Bristol, Bristol, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Bristol, Bristol, United Kingdom","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057936560","display_name":"Peter Flach","orcid":"https://orcid.org/0000-0001-6857-5810"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Peter Flach","raw_affiliation_strings":["University of Bristol, Bristol, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Bristol, Bristol, United Kingdom","institution_ids":["https://openalex.org/I36234482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5083819794"],"corresponding_institution_ids":["https://openalex.org/I36234482"],"apc_list":null,"apc_paid":null,"fwci":17.2618,"has_fulltext":false,"cited_by_count":226,"citation_normalized_percentile":{"value":0.99376241,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"56","last_page":"67"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9997000098228455,"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":0.9997000098228455,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9675999879837036,"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"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9675999879837036,"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/taxonomy","display_name":"Taxonomy (biology)","score":0.8130608797073364},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.7722135782241821},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7675231695175171},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.7274141907691956},{"id":"https://openalex.org/keywords/implementation","display_name":"Implementation","score":0.6370819211006165},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5638520121574402},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4945845305919647},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.47241654992103577},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42870771884918213},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.3905666470527649},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.31634289026260376},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.25552305579185486},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10733243823051453}],"concepts":[{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.8130608797073364},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.7722135782241821},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7675231695175171},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.7274141907691956},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.6370819211006165},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5638520121574402},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4945845305919647},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.47241654992103577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42870771884918213},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.3905666470527649},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.31634289026260376},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.25552305579185486},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10733243823051453},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3351095.3372870","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3351095.3372870","pdf_url":"https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3351095.3372870&file=p56-sokol-supp.pdf&download=true","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"}],"best_oa_location":{"id":"doi:10.1145/3351095.3372870","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3351095.3372870","pdf_url":"https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3351095.3372870&file=p56-sokol-supp.pdf&download=true","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"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5342004627","display_name":null,"funder_award_id":"1729919","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7396137307","display_name":null,"funder_award_id":"EP/R005273/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4288083797.pdf","grobid_xml":"https://content.openalex.org/works/W4288083797.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W16623633","https://openalex.org/W54573516","https://openalex.org/W56293434","https://openalex.org/W1552250714","https://openalex.org/W1678356000","https://openalex.org/W1994606570","https://openalex.org/W2010025661","https://openalex.org/W2041029272","https://openalex.org/W2053075547","https://openalex.org/W2081576678","https://openalex.org/W2108554506","https://openalex.org/W2113882472","https://openalex.org/W2125847307","https://openalex.org/W2130485404","https://openalex.org/W2139780773","https://openalex.org/W2140107468","https://openalex.org/W2168747479","https://openalex.org/W2264742718","https://openalex.org/W2282821441","https://openalex.org/W2394669110","https://openalex.org/W2420245003","https://openalex.org/W2461606751","https://openalex.org/W2551974706","https://openalex.org/W2585399080","https://openalex.org/W2594475271","https://openalex.org/W2597603852","https://openalex.org/W2715209044","https://openalex.org/W2790505917","https://openalex.org/W2798497570","https://openalex.org/W2807124908","https://openalex.org/W2809182405","https://openalex.org/W2897042519","https://openalex.org/W2911227954","https://openalex.org/W2911599849","https://openalex.org/W2948698627","https://openalex.org/W2962681511","https://openalex.org/W2963095307","https://openalex.org/W2963125461","https://openalex.org/W2964125683","https://openalex.org/W2964449086","https://openalex.org/W2973319951","https://openalex.org/W2974071289","https://openalex.org/W3033759882","https://openalex.org/W3100279624","https://openalex.org/W3102161834","https://openalex.org/W3103795814","https://openalex.org/W3104279192","https://openalex.org/W3138819813","https://openalex.org/W4234632900","https://openalex.org/W4249616221","https://openalex.org/W4251853086","https://openalex.org/W4288642104","https://openalex.org/W4289469015","https://openalex.org/W4293153764","https://openalex.org/W4293865119","https://openalex.org/W4294152847","https://openalex.org/W4299700722","https://openalex.org/W4308264370","https://openalex.org/W6602173486"],"related_works":["https://openalex.org/W2163296013","https://openalex.org/W2743859443","https://openalex.org/W2326995835","https://openalex.org/W165915117","https://openalex.org/W2059402478","https://openalex.org/W2123347777","https://openalex.org/W4387804363","https://openalex.org/W2019547100","https://openalex.org/W2477150073","https://openalex.org/W2515493494"],"abstract_inverted_index":{"Explanations":[0],"in":[1,5,84,165,207],"Machine":[2],"Learning":[3],"come":[4],"many":[6],"forms,":[7],"but":[8,144],"a":[9,24,27,56,185,192],"consensus":[10],"regarding":[11],"their":[12,85,103,142,150,156,208],"desired":[13],"properties":[14,154],"is":[15],"yet":[16],"to":[17,35,54,95,101,130,139,146,178],"emerge.":[18],"In":[19,52],"this":[20],"paper":[21],"we":[22,64],"introduce":[23],"taxonomy":[25,60,196],"and":[26,37,50,58,61,74,105,122,133,153,175,182],"set":[28],"of":[29,155,162,168,184,201],"descriptors":[30,63],"that":[31,76],"can":[32,197],"be":[33],"used":[34,83,100,190],"characterise":[36],"systematically":[38,131],"assess":[39],"explainable":[40,187],"systems":[41],"along":[42,211],"five":[43,213],"key":[44],"dimensions:":[45],"functional,":[46],"operational,":[47],"usability,":[48],"safety":[49],"validation.":[51],"order":[53],"design":[55],"comprehensive":[57],"representative":[59],"associated":[62],"surveyed":[65],"the":[66,72,163,166,199,212],"eXplainable":[67],"Artificial":[68],"Intelligence":[69],"literature,":[70],"extracting":[71],"criteria":[73,98,117],"desiderata":[75],"other":[77],"authors":[78],"have":[79],"proposed":[80,214],"or":[81],"implicitly":[82],"research.":[86],"The":[87],"survey":[88],"includes":[89],"papers":[90,114],"introducing":[91],"new":[92,202],"explainability":[93,135,203],"algorithms":[94,108],"see":[96],"what":[97],"are":[99,109],"guide":[102,198],"development":[104,200],"how":[106],"these":[107],"evaluated,":[110],"as":[111,113,191],"well":[112],"proposing":[115],"such":[116],"from":[118],"both":[119],"computer":[120],"science":[121,124],"social":[123],"perspectives.":[125],"This":[126],"novel":[127],"framework":[128,164],"allows":[129],"compare":[132],"contrast":[134],"approaches,":[136],"not":[137],"just":[138],"better":[140],"understand":[141],"capabilities":[143,181],"also":[145],"identify":[147],"discrepancies":[148],"between":[149],"theoretical":[151],"qualities":[152],"implementations.":[157],"We":[158],"developed":[159],"an":[160],"operationalisation":[161],"form":[167],"Explainability":[169],"Fact":[170],"Sheets,":[171],"which":[172],"enable":[173],"researchers":[174],"practitioners":[176],"alike":[177],"quickly":[179],"grasp":[180],"limitations":[183],"particular":[186],"method.":[188],"When":[189],"Work":[193],"Sheet,":[194],"our":[195],"approaches":[204],"by":[205],"aiding":[206],"critical":[209],"evaluation":[210],"dimensions.":[215]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":40},{"year":2024,"cited_by_count":54},{"year":2023,"cited_by_count":47},{"year":2022,"cited_by_count":32},{"year":2021,"cited_by_count":37},{"year":2020,"cited_by_count":11}],"updated_date":"2026-04-12T07:58:50.170612","created_date":"2022-07-28T00:00:00"}