{"id":"https://openalex.org/W7129613063","doi":"https://doi.org/10.48550/arxiv.2602.14331","title":"A Bayesian Framework for Human-AI Collaboration: Complementarity and Correlation Neglect","display_name":"A Bayesian Framework for Human-AI Collaboration: Complementarity and Correlation Neglect","publication_year":2026,"publication_date":"2026-02-15","ids":{"openalex":"https://openalex.org/W7129613063","doi":"https://doi.org/10.48550/arxiv.2602.14331"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.14331","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112133200","display_name":"Saurabh Amin","orcid":"https://orcid.org/0000-0003-1554-015X"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Amin, Saurabh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055842944","display_name":"Amine Bennouna","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bennouna, Amine","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112446832","display_name":"Daniel P. Huttenlocher","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huttenlocher, Daniel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041144949","display_name":"Dingwen Kong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kong, Dingwen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126243479","display_name":"Liang Lyu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lyu, Liang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5126250233","display_name":"Asuman Ozdaglar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ozdaglar, Asuman","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5112133200"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.39559999108314514,"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"}},"topics":[{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.39559999108314514,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.16680000722408295,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.11980000138282776,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/complementarity","display_name":"Complementarity (molecular biology)","score":0.659600019454956},{"id":"https://openalex.org/keywords/imperfect","display_name":"Imperfect","score":0.5684999823570251},{"id":"https://openalex.org/keywords/neglect","display_name":"Neglect","score":0.5565999746322632},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5375000238418579},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5342000126838684},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4219000041484833},{"id":"https://openalex.org/keywords/value-of-information","display_name":"Value of information","score":0.35530000925064087},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.3443000018596649}],"concepts":[{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.659600019454956},{"id":"https://openalex.org/C2780310539","wikidata":"https://www.wikidata.org/wiki/Q12547192","display_name":"Imperfect","level":2,"score":0.5684999823570251},{"id":"https://openalex.org/C2776289891","wikidata":"https://www.wikidata.org/wiki/Q1931511","display_name":"Neglect","level":2,"score":0.5565999746322632},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5375000238418579},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5342000126838684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5257999897003174},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5123000144958496},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.459199994802475},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.42980000376701355},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4219000041484833},{"id":"https://openalex.org/C92424840","wikidata":"https://www.wikidata.org/wiki/Q7912772","display_name":"Value of information","level":2,"score":0.35530000925064087},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.3443000018596649},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.3269999921321869},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.32350000739097595},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.3111000061035156},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28870001435279846},{"id":"https://openalex.org/C3020402766","wikidata":"https://www.wikidata.org/wiki/Q104376712","display_name":"Prior information","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C123676819","wikidata":"https://www.wikidata.org/wiki/Q1074338","display_name":"Perfect information","level":2,"score":0.2705000042915344},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.26980000734329224},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.2696000039577484},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2605000138282776},{"id":"https://openalex.org/C113336015","wikidata":"https://www.wikidata.org/wiki/Q574010","display_name":"Complete information","level":2,"score":0.25060001015663147}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.14331","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.14331","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.14331","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.14331","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7887186408042908,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,38,93],"develop":[1],"a":[2,26,65,82],"decision-theoretic":[3],"model":[4],"of":[5,43,55,85,99,113],"human-AI":[6],"interaction":[7,133],"to":[8,78],"study":[9,94],"when":[10],"AI":[11,30,44,57,91,109,128],"assistance":[12,45],"improves":[13],"or":[14],"impairs":[15],"human":[16,19,61,72,89],"decision-making.":[17],"A":[18],"decision-maker":[20],"observes":[21],"private":[22],"information":[23,116],"and":[24,64,90,127,139,141],"receives":[25],"recommendation":[27],"from":[28,69],"an":[29,95],"system,":[31],"but":[32],"may":[33],"combine":[34],"these":[35],"signals":[36],"imperfectly.":[37],"show":[39],"that":[40],"the":[41,51,56,60,71,74,131],"effect":[42],"decomposes":[46],"into":[47],"two":[48],"main":[49],"forces:":[50],"marginal":[52],"informational":[53,86],"value":[54],"beyond":[58],"what":[59],"already":[62],"knows,":[63],"behavioral":[66],"distortion":[67],"arising":[68],"how":[70,125],"uses":[73],"AI's":[75],"recommendation.":[76],"Central":[77],"our":[79],"analysis":[80],"is":[81],"micro-founded":[83],"measure":[84],"overlap":[87,126],"between":[88,135],"knowledge.":[92],"empirically":[96],"relevant":[97],"form":[98],"imperfect":[100],"decision-making":[101],"--":[102,105],"correlation":[103],"neglect":[104],"whereby":[106],"humans":[107],"treat":[108],"recommendations":[110],"as":[111],"independent":[112],"their":[114],"own":[115],"despite":[117],"shared":[118],"evidence.":[119],"Under":[120],"this":[121],"model,":[122],"we":[123],"characterize":[124],"capabilities":[129],"shape":[130],"Human-AI":[132],"regime":[134],"augmentation,":[136],"impairment,":[137],"complementarity,":[138],"automation,":[140],"draw":[142],"key":[143],"insights.":[144]},"counts_by_year":[],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2026-02-18T00:00:00"}