Six Shared Governance Structures for Artificial Intelligence Decision Processes in Higher Education Leadership

New publication available. This study examines six shared governance structures for artificial intelligence governance in higher education. The paper focuses on policy development, academic quality, data protection, faculty authority, and institutional accountability. Findings from recent empirical studies support governance approaches that incorporate faculty members, students, institutional leaders, legal personnel, and institutional research representatives in artificial intelligence decision processes.