{"id":"https://openalex.org/W3136881583","doi":"https://doi.org/10.1145/3430984.3431966","title":"Trustworthy AI","display_name":"Trustworthy AI","publication_year":2020,"publication_date":"2020-12-28","ids":{"openalex":"https://openalex.org/W3136881583","doi":"https://doi.org/10.1145/3430984.3431966","mag":"3136881583"},"language":"en","primary_location":{"id":"doi:10.1145/3430984.3431966","doi":"https://doi.org/10.1145/3430984.3431966","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3430984.3431966","pdf_url":null,"source":{"id":"https://openalex.org/S7407088574","display_name":"Joint International Conference on Data Science & Management of Data (CODS-COMAD)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM India Joint International Conference on Data Science &amp; Management of Data (8th ACM IKDD CODS &amp; 26th COMAD)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2011.02272","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011779957","display_name":"Richa Singh","orcid":"https://orcid.org/0000-0003-4060-4573","observed_orcids":["https://orcid.org/0000-0003-4060-4573"]},"institutions":[{"id":"https://openalex.org/I154549908","display_name":"Indian Institute of Technology Jodhpur","ror":"https://ror.org/03yacj906","country_code":"IN","type":"education","lineage":["https://openalex.org/I154549908"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Richa Singh","raw_affiliation_strings":["IIT Jodhpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Jodhpur, India","institution_ids":["https://openalex.org/I154549908"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050521702","display_name":"Mayank Vatsa A","orcid":"https://orcid.org/0000-0001-5952-2274","observed_orcids":["https://orcid.org/0000-0001-5952-2274"]},"institutions":[{"id":"https://openalex.org/I154549908","display_name":"Indian Institute of Technology Jodhpur","ror":"https://ror.org/03yacj906","country_code":"IN","type":"education","lineage":["https://openalex.org/I154549908"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mayank Vatsa","raw_affiliation_strings":["IIT Jodhpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IIT Jodhpur, India","institution_ids":["https://openalex.org/I154549908"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003836761","display_name":"Nalini Ratha","orcid":"https://orcid.org/0000-0001-7913-5722","observed_orcids":["https://orcid.org/0000-0001-7913-5722"]},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nalini Ratha","raw_affiliation_strings":["University of Buffalo, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Buffalo, USA","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4775,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.64199082,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"449","last_page":"453"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.8393999934196472,"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":0.8393999934196472,"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":0.14720000326633453,"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":0.005799999926239252,"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/trustworthy-ai","display_name":"trustworthy AI","score":0.9990000128746033},{"id":"https://openalex.org/keywords/explainable-ai","display_name":"explainable AI","score":0.7910000085830688},{"id":"https://openalex.org/keywords/adversarial-robustness","display_name":"adversarial robustness","score":0.9509999752044678},{"id":"https://openalex.org/keywords/data-privacy","display_name":"data privacy","score":0.6029999852180481},{"id":"https://openalex.org/keywords/model-security","display_name":"model security","score":0.765999972820282},{"id":"https://openalex.org/keywords/ai-transparency","display_name":"AI transparency","score":0.43799999356269836},{"id":"https://openalex.org/keywords/model-attribution","display_name":"model attribution","score":0.8529999852180481},{"id":"https://openalex.org/keywords/public-trust-in-ai","display_name":"public trust in AI","score":0.8180000185966492}],"concepts":[{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.8138941526412964},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8003016114234924},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.772401750087738},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.6910937428474426},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.576048731803894},{"id":"https://openalex.org/C48798503","wikidata":"https://www.wikidata.org/wiki/Q877546","display_name":"Reputation","level":2,"score":0.478128582239151},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4122144877910614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37461328506469727},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3456963300704956},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.16208627820014954},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3430984.3431966","doi":"https://doi.org/10.1145/3430984.3431966","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3430984.3431966","pdf_url":null,"source":{"id":"https://openalex.org/S7407088574","display_name":"Joint International Conference on Data Science & Management of Data (CODS-COMAD)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd ACM India Joint International Conference on Data Science &amp; Management of Data (8th ACM IKDD CODS &amp; 26th COMAD)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2011.02272","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.02272","pdf_url":"https://arxiv.org/pdf/2011.02272","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3094945252","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2011.02272","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2011.02272","doi":"https://doi.org/10.48550/arxiv.2011.02272","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2011.02272","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2011.02272","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2011.02272","pdf_url":"https://arxiv.org/pdf/2011.02272","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320325255","display_name":"Ministry of Electronics and Information technology","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3136881583.pdf","grobid_xml":"https://content.openalex.org/works/W3136881583.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W1546640831","https://openalex.org/W2535690855","https://openalex.org/W2607219512","https://openalex.org/W2611576673","https://openalex.org/W2620038827","https://openalex.org/W2767962654","https://openalex.org/W2788481061","https://openalex.org/W2788741149","https://openalex.org/W2804411656","https://openalex.org/W2806344213","https://openalex.org/W2892354372","https://openalex.org/W2909303050","https://openalex.org/W2911634294","https://openalex.org/W2928736629","https://openalex.org/W2939803556","https://openalex.org/W2940483533","https://openalex.org/W2945445411","https://openalex.org/W2950947818","https://openalex.org/W2952388520","https://openalex.org/W2962710014","https://openalex.org/W2962943487","https://openalex.org/W2963178695","https://openalex.org/W2963207607","https://openalex.org/W2963694625","https://openalex.org/W2969896603","https://openalex.org/W2970317235","https://openalex.org/W2972506132","https://openalex.org/W2982175467","https://openalex.org/W2990399168","https://openalex.org/W2997532515","https://openalex.org/W2999371622","https://openalex.org/W2999616218","https://openalex.org/W3004493409","https://openalex.org/W3008058947","https://openalex.org/W3009247505","https://openalex.org/W3021606843","https://openalex.org/W3025775630","https://openalex.org/W3034621581","https://openalex.org/W3035257588","https://openalex.org/W3035790147","https://openalex.org/W3037702798","https://openalex.org/W3046241927","https://openalex.org/W3048102985","https://openalex.org/W3091059919","https://openalex.org/W3170542759","https://openalex.org/W6958765715"],"related_works":["https://openalex.org/W3202183072","https://openalex.org/W4404866590","https://openalex.org/W4407683640","https://openalex.org/W7213242619","https://openalex.org/W6885023248","https://openalex.org/W7219766838","https://openalex.org/W4415125745","https://openalex.org/W4402363892","https://openalex.org/W7162258539","https://openalex.org/W4402265597"],"abstract_inverted_index":{"Modern":[0],"AI":[1,109,130],"systems":[2],"are":[3,16,78,103],"reaping":[4],"the":[5,18,31,37,40,52,55,81,86,91,113,161,168],"advantage":[6],"of":[7,22,50,54,76,80,90,107,142,164],"novel":[8],"learning":[9],"methods.":[10],"With":[11],"their":[12,43],"increasing":[13],"usage,":[14],"we":[15],"realizing":[17],"limitations":[19],"and":[20,61,63,67,88,99,126,135,148,156,173],"shortfalls":[21],"these":[23],"systems.":[24],"Brittleness":[25],"to":[26,35,96,118,167],"minor":[27],"adversarial":[28,143],"changes":[29],"in":[30,42,48,123,129,150,175],"input":[32],"data,":[33,45,92],"ability":[34],"explain":[36],"decisions,":[38],"address":[39,119],"bias":[41,134],"training":[44],"high":[46],"opacity":[47],"terms":[49],"revealing":[51],"lineage":[53],"system,":[56],"how":[57],"they":[58,69],"were":[59],"trained":[60],"tested,":[62],"under":[64],"which":[65],"parameters":[66],"conditions":[68],"can":[70],"reliably":[71],"guarantee":[72],"a":[73],"certain":[74],"level":[75,163],"performance,":[77],"some":[79],"most":[82],"prominent":[83],"limitations.":[84],"Ensuring":[85],"privacy":[87,147],"security":[89,149],"assigning":[93],"appropriate":[94],"credits":[95],"data":[97,169],"sources,":[98,170],"delivering":[100],"decent":[101],"outputs":[102],"also":[104],"required":[105],"features":[106],"an":[108],"system.":[110],"We":[111],"propose":[112],"tutorial":[114],"on":[115],"\u201cTrustworthy":[116],"AI\u201d":[117],"six":[120],"critical":[121],"issues":[122],"enhancing":[124],"user":[125],"public":[127],"trust":[128],"systems,":[131],"namely:":[132],"(i)":[133],"fairness,":[136],"(ii)":[137],"explainability,":[138],"(iii)":[139],"robust":[140],"mitigation":[141],"attacks,":[144],"(iv)":[145],"improved":[146],"model":[151,158,171],"building,":[152],"(v)":[153],"being":[154],"decent,":[155],"(vi)":[157],"attribution,":[159],"including":[160],"right":[162],"credit":[165],"assignment":[166],"architectures,":[172],"transparency":[174],"lineage.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2021-03-29T00:00:00"}
