Institutional Perspectives on AI Implementation in Higher Education

Today's colleges and universities integrate intelligent technologies into teaching, learning, administration, and research. As AI transforms educational environments, institutions must balance opportunities for innovation with issues related to ethics, privacy, academic integrity, and equity. New strategies, policies, and governance structures guide AI adoption across higher education institutions, while considering the perspectives of administrators, faculty, students, and policymakers. Educational leaders, and engaged students and faculty, shape responsible AI implementation within their organizations. Further research may highlight the challenges and opportunities institutions face as they adapt to an AI-driven educational landscape. Institutional Perspectives on AI Implementation in Higher Education explores how higher education institutions perceive, adopt, and manage AI to support academic, administrative, and research functions. It examines the policies, governance frameworks, opportunities, and challenges associated with AI implementation, including data privacy, academic integrity, and equitable access to technology. This book covers topics such as online learning, educational technology, and data science, and is a useful resource for educators, engineers, academicians, researchers, and scientists.