Ethical Governance and AI in Higher Education

This teaching document gives leaders and graduate learners a practical model for evaluating institutional purpose, readiness, accountability, and ethical requirements before approving AI systems. Through research‑based explanations, a student‑retention case study, and structured analysis questions, the document helps learners examine algorithmic bias, data privacy, academic integrity, and leadership responsibility. It equips readers to prepare strong recommendations for responsible AI use across campus operations. If your institution needs a clear instructional framework for ethical AI governance, this teaching document provides a ready‑to‑use graduate‑level framework.