{"id":"https://openalex.org/W4312725303","doi":"https://doi.org/10.1145/3522664.3528600","title":"Method cards for prescriptive machine-learning transparency","display_name":"Method cards for prescriptive machine-learning transparency","publication_year":2022,"publication_date":"2022-05-16","ids":{"openalex":"https://openalex.org/W4312725303","doi":"https://doi.org/10.1145/3522664.3528600"},"language":"en","primary_location":{"id":"doi:10.1145/3522664.3528600","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3522664.3528600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI","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/A5079329965","display_name":"David Adkins","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"David Adkins","raw_affiliation_strings":["Meta AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta AI","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103406484","display_name":"Bilal Alsallakh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bilal Alsallakh","raw_affiliation_strings":["Meta AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta AI","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055714955","display_name":"Adeel Cheema","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adeel Cheema","raw_affiliation_strings":["Meta AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta AI","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079382555","display_name":"Narine Kokhlikyan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Narine Kokhlikyan","raw_affiliation_strings":["Meta AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta AI","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057593507","display_name":"Emily McReynolds","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Emily McReynolds","raw_affiliation_strings":["Meta AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta AI","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002745343","display_name":"Pushkar Mishra","orcid":"https://orcid.org/0000-0002-1653-6198"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pushkar Mishra","raw_affiliation_strings":["Meta AI, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta AI, UK","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091127613","display_name":"Chavez Procope","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chavez Procope","raw_affiliation_strings":["Meta AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta AI","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012524051","display_name":"Jeremy Sawruk","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jeremy Sawruk","raw_affiliation_strings":["Meta AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta AI","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056153366","display_name":"Erin Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Erin Wang","raw_affiliation_strings":["Meta AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta AI","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073701342","display_name":"Polina Zvyagina","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Polina Zvyagina","raw_affiliation_strings":["Meta AI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Meta AI","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5079329965"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.078,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.89039554,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"90","last_page":"100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9980000257492065,"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":0.9980000257492065,"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":0.9965999722480774,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9937000274658203,"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/transparency","display_name":"Transparency (behavior)","score":0.8308529853820801},{"id":"https://openalex.org/keywords/documentation","display_name":"Documentation","score":0.8204129934310913},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7952718734741211},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.7222751379013062},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5949238538742065},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.40527427196502686},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3619806170463562},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3390980362892151},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23790881037712097},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.20100685954093933}],"concepts":[{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.8308529853820801},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.8204129934310913},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7952718734741211},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.7222751379013062},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5949238538742065},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.40527427196502686},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3619806170463562},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3390980362892151},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23790881037712097},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.20100685954093933},{"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:10.1145/3522664.3528600","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3522664.3528600","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Conference on AI Engineering: Software Engineering for AI","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":35,"referenced_works":["https://openalex.org/W1510979912","https://openalex.org/W1849277567","https://openalex.org/W2038476425","https://openalex.org/W2193145675","https://openalex.org/W2282821441","https://openalex.org/W2524984006","https://openalex.org/W2526501380","https://openalex.org/W2540642777","https://openalex.org/W2542768043","https://openalex.org/W2559655401","https://openalex.org/W2737202447","https://openalex.org/W2897042519","https://openalex.org/W2945956065","https://openalex.org/W2956281901","https://openalex.org/W2962858109","https://openalex.org/W2963855133","https://openalex.org/W2970043916","https://openalex.org/W2974071289","https://openalex.org/W2989130065","https://openalex.org/W2998064020","https://openalex.org/W3000716014","https://openalex.org/W3032828722","https://openalex.org/W3039817009","https://openalex.org/W3100279624","https://openalex.org/W3106250896","https://openalex.org/W3124333825","https://openalex.org/W3133631714","https://openalex.org/W3136250462","https://openalex.org/W3138819813","https://openalex.org/W3163904326","https://openalex.org/W3212368439","https://openalex.org/W4221116553","https://openalex.org/W4229494842","https://openalex.org/W4288359825","https://openalex.org/W4297822669"],"related_works":["https://openalex.org/W2618286804","https://openalex.org/W2329643025","https://openalex.org/W52840052","https://openalex.org/W2002770077","https://openalex.org/W3131163342","https://openalex.org/W2092256833","https://openalex.org/W2142369114","https://openalex.org/W2361728394","https://openalex.org/W2166271660","https://openalex.org/W2352631095"],"abstract_inverted_index":{"Specialized":[0],"documentation":[1,97],"techniques":[2],"have":[3,31],"been":[4],"developed":[5],"to":[6,56,80,86,101,115,127],"communicate":[7,161],"key":[8,162],"facts":[9],"about":[10,40],"machine-learning":[11],"(ML)":[12],"systems":[13,123],"and":[14,17,28,53,119,137,155,169],"the":[15,41,45,59,91,117,129,132,167,172,181],"datasets":[16],"models":[18],"they":[19],"rely":[20],"on.":[21],"Techniques":[22],"such":[23,103],"as":[24],"Datasheets,":[25],"AI":[26],"FactSheets,":[27],"Model":[29],"Cards":[30,159],"taken":[32],"a":[33,96,106],"mainly":[34],"descriptive":[35],"approach,":[36],"providing":[37],"various":[38],"details":[39],"system":[42,61],"components.":[43],"While":[44],"above":[46],"information":[47],"is":[48],"essential":[49],"for":[50,179],"product":[51],"developers":[52],"external":[54],"experts":[55],"assess":[57],"whether":[58],"ML":[60,74,122,185],"meets":[62],"their":[63,135],"requirements,":[64],"other":[65],"stakeholders":[66,126],"might":[67],"find":[68],"it":[69],"less":[70],"actionable.":[71],"In":[72],"particular,":[73],"engineers":[75,186],"need":[76],"guidance":[77,104],"on":[78,188],"how":[79,157],"mitigate":[81],"potential":[82],"shortcomings":[83],"in":[84,105,140,151],"order":[85],"fix":[87],"bugs":[88],"or":[89],"improve":[90],"system's":[92],"performance.":[93],"We":[94,144,175],"propose":[95],"artifact":[98],"that":[99,164],"aims":[100,114],"provide":[102],"prescriptive":[107],"way.":[108,143],"Our":[109],"proposal,":[110],"called":[111],"Method":[112,158,189],"Cards,":[113],"increase":[116,166],"transparency":[118,168],"reproducibility":[120,170],"of":[121,171,184],"by":[124],"allowing":[125],"reproduce":[128],"models,":[130],"understand":[131],"rationale":[133],"behind":[134],"designs,":[136],"introduce":[138],"adaptations":[139],"an":[141,149],"informed":[142],"showcase":[145],"our":[146],"proposal":[147],"with":[148],"example":[150],"small":[152],"object":[153],"detection,":[154],"demonstrate":[156],"can":[160],"considerations":[163],"help":[165],"detection":[173],"model.":[174],"further":[176],"highlight":[177],"avenues":[178],"improving":[180],"user":[182],"experience":[183],"based":[187],"Cards.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}