1、BRANDON CROSBY,NATHAN THOMPSON,LISA M.HARRINGTON,DANIEL B.GINSBERGModernizing Department of Defense Civilian Human ResourcesHarnessing AI for Transformative ChangeHaving the largest number of civilian employees in the federal government,the U.S.Depart-ment of Defense(DoD)has a pivotal opportunity to
2、 modernize its workforce management.Although defense conversations often center on warfighting capabilities,the performance of the civilian workforcemore than 770,000 strongis essential to meeting the depart-ments strategic and operational goals.Across DoD components,the pace of technological advanc
3、e-ment,the growth of workforce demands,and persistent process inefficiencies have prompted a search for innovative approaches to workforce management.Artificial intelligence(AI)is increasingly viewed as a potential tool to improve efficiency,con-sistency,and decisionmaking across human resources(HR)
4、operations.AI refers to computational(i.e.,not human)systems or techniques that can perform tasks that have limited human oversight.AI systems exhibit human-like qualities,such as learning from experience,reasoning,and decision-making,by analyzing large volumes of data to improve their performance o
5、ver time(Slama,Lim,and Yeung,2024).In workforce contexts,AI systemsespecially those built on machine learning,deep learning,and large language modelsenable powerful functionalities,such as pattern recogni-tion,classification,prediction,and content generation.These capabilities are central to many ap
6、pli-cations in defense human resource management(DHRM).Framework and ScopeOur project applied a flexible framework as a broad guide on potential use cases and implementa-tion issues.Our framework captures how DHRM involves central components,including personnel plans(e.g.,staffing,requirements),deve