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portada Advancing Equitable Decisionmaking for the Department of Defense Through Fairness in Machine Learning (Research Report) (in English)
Type
Physical Book
Publisher
Author
Language
English
Pages
78
Format
Paperback
ISBN13
9781977410252

Advancing Equitable Decisionmaking for the Department of Defense Through Fairness in Machine Learning (Research Report) (in English)

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) (in English) - Irineo Cabreros; Joshua Snoke; Osonde A. Osoba; Inez Khan; Marc N. Elliott

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Synopsis "Advancing Equitable Decisionmaking for the Department of Defense Through Fairness in Machine Learning (Research Report) (in English)"

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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