As generative artificial intelligence (AI) reshapes scholarly practice, non-empirical research in human resource development (HRD) faces distinct challenges that existing guidance has not addressed. Non-empirical scholarship—including systematic reviews, bibliometric analyses, conceptual articles, and theory articles—makes its contribution through the quality of the author’s intellectual engagement with ideas, a process that AI can support but cannot replace. This editorial articulates why non-empirical work demands careful attention to AI use, proposes a typology distinguishing legitimate, contested, and illegitimate applications across six research touchpoints, and establishes reporting expectations for non-empirical submissions. Grounded in the
Editorial
Responsible AI in Non-Empirical Research: Guidance for Authors,Reviewers,and Editors in HRD
Abstract