Machine Learning in Air Force Human Resource Management. Volume 2, A Framework for Vetting Use Cases with Example Applications

Abstract

The Department of the Air Force (DAF) is working to develop and field artificial intelligence and machine learning (ML) systems for mission areas and support functions, including human resource management (HRM). Recent developments have improved the access that organizations have to data and analytic tools, opening a wide range of possible ML projects that they could pursue. Given resource limitations, decisionmakers must choose which projects to pursue among many promising options. The DAF needs a framework to evaluate the business value, feasibility, and complexity of proposed projects.

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Document Details

Document Type
Technical Report
Publication Date
Feb 16, 2024
Accession Number
AD1221534

Entities

People

  • Albert A. Robbert
  • David Schulker
  • Matthew E. Walsh
  • Sean Robson

Organizations

  • RAND Corporation

Tags

Fields of Study

  • Computer science

Readers

  • Defense Acquisition Program Management
  • Distributed Systems and Data Platform Development
  • Geospatial Intelligence and Artificial Intelligence Analytics

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy