Can Artificial Intelligence Help Improve Air Force Talent Management? An Exploratory Application
Can Artificial Intelligence Help Improve Air Force Talent Management? An Exploratory Application by David Schulker, published by RAND Corporation in 2021, is a 76-page report that examines the intersection of artificial intelligence and human resource management within the U.S. Air Force. This work addresses the growing interest among Department of Defense policymakers in utilizing data-enabled methods to enhance personnel management practices, leveraging advancements in computing power and data analytics.
In this report, RAND researchers present a performance-scoring system that integrates artificial intelligence and machine learning to improve HRM policies. The authors provide a step-by-step solution aimed at guiding Air Force policymakers in exploring how AI can be effectively implemented to refine human resource management processes. Topics such as data science, management, and the implications of technology in military contexts are explored, offering insights into the potential benefits of adopting innovative approaches in aviation and space sectors.
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Both private and public organizations are increasingly taking advantage of improvements in computing power, data availability, and analytic capabilities to improve business processes. These trends have prompted U.S. Department of Defense policymakers to become more interested in whether adopting data-enabled methods would facilitate more-effective management of department personnel. In this report, RAND researchers explore one such application that would enable the U.S. Air Force to leverage existing data for improved human resource management (HRM) policies and practices. Specifically, the researchers develop a performance-scoring system that uses artificial intelligence (AI) and machine learning, which would enable the expanded use of performance narratives in HRM processes. The main purpose of this report is to serve as a worked example (i.e., a step-by-step solution to a problem) for Air Force policymakers as they consider how to approach the potential ways in which AI can improve HRM processes.
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