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Advancing Equitable Decisionmaking for the Department of Defense Through Fairness in Machine Learning (Research Report)
Irineo Cabreros; Joshua Snoke; Osonde A. Osoba; Inez Khan; Marc N. Elliott (Author)
·
Rand Corporation
· Paperback
Advancing Equitable Decisionmaking for the Department of Defense Through Fairness in Machine Learning (Research Report) - Irineo Cabreros; Joshua Snoke; Osonde A. Osoba; Inez Khan; Marc N. Elliott
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Origin: U.S.A.
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Synopsis "Advancing Equitable Decisionmaking for the Department of Defense Through Fairness in Machine Learning (Research Report)"
The U.S. Department of Defense (DoD) is investing heavily in the development of machine learning (ML) algorithms to assist in many decisionmaking processes. This report provides policymakers and developers of ML algorithms with a framework and tools to produce algorithms for personnel management that are consistent with DoD's equity priorities.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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