{"id":"https://openalex.org/W2964961065","doi":"https://doi.org/10.1609/aaai.v33i01.33019919","title":"Building Human-Machine Trust via Interpretability","display_name":"Building Human-Machine Trust via Interpretability","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2964961065","doi":"https://doi.org/10.1609/aaai.v33i01.33019919","mag":"2964961065"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33019919","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33019919","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/5096/4969","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/5096/4969","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016469734","display_name":"Umang Bhatt","orcid":"https://orcid.org/0000-0002-4611-1668"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Umang Bhatt","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053209283","display_name":"Pradeep Ravikumar","orcid":"https://orcid.org/0000-0001-5635-5765"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pradeep Ravikumar","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045861415","display_name":"Jos\u00e9 M. F. Moura","orcid":"https://orcid.org/0000-0002-9822-8294"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jos\u00b4e M. F. Moura","raw_affiliation_strings":["Carnegie Mellon University"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016469734"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":1.5742,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.87163668,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"33","issue":"01","first_page":"9919","last_page":"9920"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9923999905586243,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9728999733924866,"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":0.8788632750511169},{"id":"https://openalex.org/keywords/contest","display_name":"CONTEST","score":0.7463470101356506},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7127323150634766},{"id":"https://openalex.org/keywords/intuition","display_name":"Intuition","score":0.595443844795227},{"id":"https://openalex.org/keywords/corporate-governance","display_name":"Corporate governance","score":0.5751853585243225},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.48599299788475037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.482260525226593},{"id":"https://openalex.org/keywords/human\u2013machine-system","display_name":"Human\u2013machine system","score":0.45168858766555786},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.422829270362854},{"id":"https://openalex.org/keywords/affordance","display_name":"Affordance","score":0.4205373227596283},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37926366925239563},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.2618507742881775},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.16199657320976257},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13383540511131287},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.12323319911956787},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.10288360714912415}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8788632750511169},{"id":"https://openalex.org/C2777582232","wikidata":"https://www.wikidata.org/wiki/Q5013414","display_name":"CONTEST","level":2,"score":0.7463470101356506},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7127323150634766},{"id":"https://openalex.org/C132010649","wikidata":"https://www.wikidata.org/wiki/Q189222","display_name":"Intuition","level":2,"score":0.595443844795227},{"id":"https://openalex.org/C39389867","wikidata":"https://www.wikidata.org/wiki/Q380767","display_name":"Corporate governance","level":2,"score":0.5751853585243225},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.48599299788475037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.482260525226593},{"id":"https://openalex.org/C146047270","wikidata":"https://www.wikidata.org/wiki/Q469666","display_name":"Human\u2013machine system","level":2,"score":0.45168858766555786},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.422829270362854},{"id":"https://openalex.org/C194995250","wikidata":"https://www.wikidata.org/wiki/Q531136","display_name":"Affordance","level":2,"score":0.4205373227596283},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37926366925239563},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2618507742881775},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.16199657320976257},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13383540511131287},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.12323319911956787},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.10288360714912415},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v33i01.33019919","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33019919","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/5096/4969","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33019919","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33019919","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/5096/4969","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5899999737739563,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964961065.pdf","grobid_xml":"https://content.openalex.org/works/W2964961065.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W2098649057","https://openalex.org/W2282821441","https://openalex.org/W2405578672","https://openalex.org/W2516809705","https://openalex.org/W2594633041","https://openalex.org/W2597603852","https://openalex.org/W2618851150","https://openalex.org/W2952727321","https://openalex.org/W2962790223","https://openalex.org/W2962862931","https://openalex.org/W3138819813","https://openalex.org/W6674853019","https://openalex.org/W6718991148","https://openalex.org/W6734194636"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2946214509","https://openalex.org/W2606108738","https://openalex.org/W4286740636","https://openalex.org/W2628063975","https://openalex.org/W2356479129","https://openalex.org/W2387346515","https://openalex.org/W2352196451","https://openalex.org/W2590086693","https://openalex.org/W2381260192"],"abstract_inverted_index":{"Developing":[0],"human-machine":[1],"trust":[2,23],"is":[3],"a":[4,43,69,82],"prerequisite":[5],"for":[6],"adoption":[7],"of":[8,65],"machine":[9],"learning":[10],"systems":[11,26,32],"in":[12,24],"decision":[13],"critical":[14],"settings":[15],"(e.g":[16],"healthcare":[17],"and":[18,76],"governance).":[19],"Users":[20],"develop":[21],"appropriate":[22],"these":[25],"when":[27],"they":[28],"understand":[29,41],"how":[30],"the":[31],"make":[33],"their":[34,56],"decisions.":[35],"Interpretability":[36],"not":[37],"only":[38],"helps":[39,48],"users":[40,49],"what":[42],"system":[44,52],"learns":[45],"but":[46],"also":[47],"contest":[50],"that":[51,67,88],"to":[53],"align":[54],"with":[55],"intuition.":[57],"We":[58],"propose":[59],"an":[60],"algorithm,":[61],"AVA:":[62],"Aggregate":[63],"Valuation":[64],"Antecedents,":[66],"generates":[68],"consensus":[70],"feature":[71],"attribution,":[72],"retrieving":[73],"local":[74],"explanations":[75],"capturing":[77],"global":[78],"patterns":[79],"learned":[80],"by":[81],"model.":[83],"Our":[84],"empirical":[85],"results":[86],"show":[87],"AVA":[89],"rivals":[90],"current":[91],"benchmarks.":[92]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}