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

Author:   Irineo Cabreros ,  Joshua Snoke ,  Osonde A Osoba ,  Inez Khan
Publisher:   RAND Corporation
ISBN:  

9781977410252


Pages:   78
Publication Date:   01 September 2023
Format:   Paperback
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Our Price $55.44 Quantity:  
Add to Cart

Share |

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


Add your own review!

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.

Full Product Details

Author:   Irineo Cabreros ,  Joshua Snoke ,  Osonde A Osoba ,  Inez Khan
Publisher:   RAND Corporation
Imprint:   RAND Corporation
Dimensions:   Width: 17.80cm , Height: 0.40cm , Length: 25.40cm
Weight:   0.154kg
ISBN:  

9781977410252


ISBN 10:   1977410251
Pages:   78
Publication Date:   01 September 2023
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Reviews

Author Information

Tab Content 6

Author Website:  

Customer Reviews

Recent Reviews

No review item found!

Add your own review!

Countries Available

All regions
Latest Reading Guide

Aorrng

Shopping Cart
Your cart is empty
Shopping cart
Mailing List