Toward Responsible AI Implementation in K–12 Music Education A Human-Centered Conceptual Framework Informed by Emerging U.S. Educational Priorities

This article presents a Human-Centered Conceptual Framework for Responsible AI Implementation in K–12 Music Education. Drawing on emerging U.S. educational priorities, international governance frameworks, and contemporary scholarship, the article conceptualizes responsible AI implementation as a dynamic educational ecosystem rather than a linear technology adoption process. The proposed framework integrates six interdependent dimensions: pedagogical foundations, educator leadership and teacher agency, AI literacy, ethical governance and institutional safeguards, professional capacity building, and continuous improvement and evaluation. It offers a theoretical foundation for future empirical validation, educational policy development, institutional planning, teacher preparation, and instructional practice in music education and other K–12 learning environments. This work forms part of a broader open research initiative documented in the Open Science Framework (OSF), supporting transparency, version control, and continued research development in responsible educational AI.