Bayesian modeling of human–AI complementarity
Bayesian modeling of human–AI complementarity
About this item
Full title
Author / Creator
Publisher
United States: National Academy of Sciences
Journal title
Language
English
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Publisher
United States: National Academy of Sciences
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Scope and Contents
Contents
Artificial intelligence (AI) and machine learning models are being increasingly deployed in real-world applications. In many of these applications, there is strong motivation to develop hybrid systems in which humans and AI algorithms can work together, leveraging their complementary strengths and weaknesses. We develop a Bayesian framework for com...
Alternative Titles
Full title
Bayesian modeling of human–AI complementarity
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8931210
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8931210
Other Identifiers
ISSN
0027-8424
E-ISSN
1091-6490
DOI
10.1073/pnas.2111547119
