Preparing Educational Leaders for AI Literacy Through Ethical, Purpose-Driven, and Culturally Responsive Leadership
Abstract
As artificial intelligence (AI) becomes integrated into instruction, assessment, communication, and school operations, educational leadership must shift from technical adoption to purpose-driven and ethical practice. This chapter argues that effective AI leadership begins with knowing one's “why,” drawing on Simon Sinek's purpose-centered leadership, Brené Brown's focus on vulnerability and courage, and John C. Maxwell's influence-based model. AI literacy is defined as a holistic capacity that combines technical awareness with ethical judgment, cultural responsiveness, equity-focused thinking, and strategic clarity. The L.E.A.D. Framework (Learn, Evaluate, Apply, Develop) is presented as a guide for intentional AI leadership, supported by principles of psychological safety, engagement, and meaningful work. A dual-language, project-based learning example illustrates how human-centered leadership guides responsible AI use. The chapter concludes with practical tools and a research agenda for building ethical, equitable, and future-ready AI leadership capacity.
Fields of Study & Subjects
Artificial Intelligence in Education
Education and Communication Studies
Educational Leadership and Practices
Publication details
- Journal / source
- Advances in computational intelligence and robotics book series
- Pages
- 105–132
- Publication date
- 10 March 2026
- Language
- EN
- Document type
- Book chapter