Safe Use of Machine Learning for Air Force Human Resource Management Volume 4, Evaluation Framework and Use Cases

Abstract

Private-sector companies are applying artificial intelligence (AI) and machine learning (ML) to diverse business functions, including human resource management (HRM), to great effect. The Department of the Air Force (DAF) is poised to adopt new analytic methods, including ML, to transform key aspects of HRM. Yet ML systems, as compared with other information technologies, present distinct safety concerns when applied to HRM because they do not use well-understood, preprogrammed rules set by human resources experts to achieve objectives. The DAF cannot confidently move forward with valuable AI and ML systems in the HRM domain without an analytic framework to evaluate and augment the safety of these systems.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2024
Accession Number
AD1223040

Entities

People

  • David Schulker
  • Joshua Snoke
  • Joshua Williams
  • Matthew E. Walsh

Organizations

  • RAND Corporation

Tags

Fields of Study

  • Computer science

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Systems Analysis and Design
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks