Six Questions Every Higher Education Leader Should Ask Before Using AI

New Monograph Release Six Questions Every Higher Education Leader Should Ask Before Using AI Higher education institutions are increasingly adopting artificial intelligence (AI) tools to support admissions, faculty evaluation, student support, and administrative decision-making. But how can leaders ensure these systems reflect institutional values, uphold ethical standards, and serve diverse stakeholders? Dr. Mopelola Fatile’s newly released monograph offers a rigorous, question-driven framework for evaluating AI systems in academic settings. Drawing from leadership ethics, organizational knowledge theory, and contemporary AI governance studies, this work equips decision-makers with six essential questions that clarify: Problem definition and institutional relevance Data sources and equity of outcomes Accountability for harmful results Transparency and stakeholder access Ethical review procedures and reviewer qualifications Alignment with institutional commitments Each chapter integrates foundational scholarship (Ciulla, Brown et al.) with recent international case studies (Selvaratnam & Venaruzzo, Wu et al., Bollaert), guiding leaders toward inclusive, accountable, and mission-aligned AI adoption.