{"id":"https://openalex.org/W4392207828","doi":"https://doi.org/10.1109/tii.2024.3361489","title":"An Interrogative Survey of Explainable AI in Manufacturing","display_name":"An Interrogative Survey of Explainable AI in Manufacturing","publication_year":2024,"publication_date":"2024-02-27","ids":{"openalex":"https://openalex.org/W4392207828","doi":"https://doi.org/10.1109/tii.2024.3361489"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2024.3361489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3361489","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-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/A5021386980","display_name":"Zo\u00eb Alexander","orcid":"https://orcid.org/0000-0001-8687-5649"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zoe Alexander","raw_affiliation_strings":["School of Computational Science and Engineering and the George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":"https://orcid.org/0000-0001-8687-5649","affiliations":[{"raw_affiliation_string":"School of Computational Science and Engineering and the George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020153026","display_name":"Duen Horng Chau","orcid":"https://orcid.org/0000-0001-9824-3323"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Duen Horng Chau","raw_affiliation_strings":["School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":"https://orcid.org/0000-0001-9824-3323","affiliations":[{"raw_affiliation_string":"School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021185346","display_name":"Christopher Salda\u00f1a","orcid":"https://orcid.org/0000-0003-1427-7732"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher Salda\u00f1a","raw_affiliation_strings":["George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":"https://orcid.org/0000-0003-1427-7732","affiliations":[{"raw_affiliation_string":"George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":8.8623,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.98172728,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"20","issue":"5","first_page":"7069","last_page":"7081"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9973000288009644,"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":0.9973000288009644,"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":0.9549999833106995,"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/T14351","display_name":"Statistical and Computational Modeling","score":0.9412999749183655,"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/interrogative","display_name":"Interrogative","score":0.881023645401001},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.511566698551178},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4202907681465149},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.11483609676361084},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.08563694357872009}],"concepts":[{"id":"https://openalex.org/C57098296","wikidata":"https://www.wikidata.org/wiki/Q12021746","display_name":"Interrogative","level":2,"score":0.881023645401001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.511566698551178},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4202907681465149},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.11483609676361084},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.08563694357872009}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2024.3361489","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3361489","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1520312290","display_name":"ENHANCED PREPARATION FOR INTELLIGENT CYBERMANUFACTURING SYSTEMS (EPICS)","funder_award_id":"DEEE0008303","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"}],"funders":[{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":67,"referenced_works":["https://openalex.org/W1996796871","https://openalex.org/W2170046857","https://openalex.org/W2803820765","https://openalex.org/W2891503716","https://openalex.org/W2912392993","https://openalex.org/W2945976633","https://openalex.org/W2963214037","https://openalex.org/W2969679574","https://openalex.org/W2975951617","https://openalex.org/W2981731882","https://openalex.org/W3037518887","https://openalex.org/W3045935064","https://openalex.org/W3046716936","https://openalex.org/W3087798089","https://openalex.org/W3092012490","https://openalex.org/W3092319349","https://openalex.org/W3104615765","https://openalex.org/W3108843266","https://openalex.org/W3110512320","https://openalex.org/W3111875263","https://openalex.org/W3128172745","https://openalex.org/W3129213854","https://openalex.org/W3129652241","https://openalex.org/W3131841536","https://openalex.org/W3132935990","https://openalex.org/W3136204826","https://openalex.org/W3150895442","https://openalex.org/W3152682522","https://openalex.org/W3153102376","https://openalex.org/W3157218201","https://openalex.org/W3162074813","https://openalex.org/W3166506493","https://openalex.org/W3166617745","https://openalex.org/W3169125662","https://openalex.org/W3170430546","https://openalex.org/W3173360689","https://openalex.org/W3176271788","https://openalex.org/W3182392194","https://openalex.org/W3183479207","https://openalex.org/W3185768356","https://openalex.org/W3185945603","https://openalex.org/W3192828121","https://openalex.org/W3197347140","https://openalex.org/W3208858088","https://openalex.org/W3214886350","https://openalex.org/W3215376239","https://openalex.org/W3216065183","https://openalex.org/W3216911037","https://openalex.org/W3217164963","https://openalex.org/W3217790602","https://openalex.org/W4200032567","https://openalex.org/W4200070426","https://openalex.org/W4205525990","https://openalex.org/W4205843111","https://openalex.org/W4206035604","https://openalex.org/W4206430068","https://openalex.org/W4210361514","https://openalex.org/W4210567336","https://openalex.org/W4210725851","https://openalex.org/W4212878806","https://openalex.org/W4214484688","https://openalex.org/W4220717928","https://openalex.org/W4221046785","https://openalex.org/W4225966510","https://openalex.org/W4226065182","https://openalex.org/W4389739628","https://openalex.org/W6791186866"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3084147960","https://openalex.org/W2380118150","https://openalex.org/W2554293154","https://openalex.org/W2382633796","https://openalex.org/W2371032728","https://openalex.org/W2386303189","https://openalex.org/W3173078013"],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1],"(AI)":[2],"is":[3,120],"a":[4,57,91,112],"driving":[5],"force":[6],"behind":[7],"Industry":[8],"4.0":[9],"in":[10,76,102],"manufacturing.":[11,77],"Specifically,":[12],"machine":[13],"learning":[14],"has":[15],"been":[16,44,74],"applied":[17],"to":[18,29,46,79,108,122],"all":[19],"parts":[20],"of":[21,60,83,115,135],"the":[22,80,88,110,116,132],"manufacturing":[23,104],"process:":[24],"from":[25,90,98,126],"product":[26],"design":[27],"optimization":[28],"anomaly":[30],"detection":[31],"for":[32],"quality":[33],"control.":[34],"Explainable":[35],"AI":[36,40],"(XAI)":[37],"and":[38,66,70,105,128,137],"interpretable":[39],"(IAI)":[41],"methods":[42,72],"have":[43,73],"developed":[45],"provide":[47],"transparency":[48],"into":[49],"how":[50,67],"models":[51],"make":[52],"decisions.":[53],"This":[54,118],"survey":[55,119],"presents":[56],"thorough":[58],"review":[59,94],"who,":[61],"what,":[62],"when,":[63],"where,":[64],"why,":[65],"both":[68,124],"IAI":[69],"XAI":[71],"used":[75],"Due":[78],"multidisciplinary":[81],"nature":[82],"manufacturing,":[84],"this":[85],"work":[86,139],"provides":[87],"results":[89],"systematic":[92],"literature":[93],"that":[95],"surveyed":[96],"papers":[97],"highly":[99],"rated":[100],"venues":[101],"multiple":[103],"AI-related":[106],"fields":[107],"give":[109],"reader":[111],"holistic":[113],"view":[114],"space.":[117],"intended":[121],"help":[123],"individuals":[125],"academia":[127],"industry":[129],"quickly":[130],"understand":[131],"applications,":[133],"areas":[134],"research,":[136],"future":[138],"involved":[140],"with":[141],"creating":[142],"explainable":[143],"industrial":[144],"solutions.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":8}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
