Advancing Equitable Decisionmaking for the Department of Defense Through Fairness in Machine Learning
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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Advancing Equitable Decisionmaking for the Department of Defense Through Fairness in Machine Learning
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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Advancing Equitable Decisionmaking for the Department of Defense Through Fairness in Machine Learning

Advancing Equitable Decisionmaking for the Department of Defense Through Fairness in Machine Learning

Advancing Equitable Decisionmaking for the Department of Defense Through Fairness in Machine Learning

Advancing Equitable Decisionmaking for the Department of Defense Through Fairness in Machine Learning

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Overview

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.


Product Details

ISBN-13: 9781977410252
Publisher: RAND Corporation
Publication date: 09/01/2023
Pages: 78
Product dimensions: 6.93(w) x 10.06(h) x 0.23(d)
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