Navigating Boundaries of AI Use in Physical Education Journal Research Publications

2026/07/26 by Yucen Li, Chenhao Wu, Yanlei Su +4
Computer Science · Medicine · Social Sciences · #Artificial Intelligence in Healthcare and Education #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI)

paper · doi:10.1080/00336297.2026.2707164

crossref issued 2026/07/26 · crossref published 2026/07/26 · crossref published-online 2026/07/26 · openalex publication_date 2026/07/26 · crossref created 2026/07/27 · crossref deposited 2026/07/27 · crossref indexed 2026/07/27 · openalex created_date 2026/07/28 · openalex updated_date 2026/07/28

Abstract

This study investigates the status and regulatory nature of Artificial Intelligence (AI) usage policies within mainstream English-language physical education journals. Ten peer-reviewed physical education journals were included. Results indicated a top-down, publisher-driven approach to AI policy formulation; however, the widespread adoption of these policies across the broader landscape of physical education journals remains limited. While AI authorship was strictly banned, regulations on content generation varied. Moreover, a regulatory asymmetry emerged, characterized by stringent confidentiality protocols for reviewers alongside comparatively lax standards for data privacy and security on the author’s side. Current governance relies on generic templates; thus, journals must transition to a human-centered framework establishing symmetric data protection and bias screening to safeguard integrity.

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