Value-Based Leadership for Responsible AI in Higher Education
How is your institution currently balancing shared governance with the speed of AI deployment? Inside the teaching document, you'll find: A Value-Based Decision Sequence: A practical approach to balancing academic freedom, institutional accountability, privacy, and shared governance. Evidence vs. Assumption: Frameworks to help graduate students and leaders critically separate empirical research (drawing on recent 2026 studies) from vendor promises. Safeguards & Accountability: Guidance on assigning clear governance roles, establishing human review processes, and setting up rigorous evaluation metrics. Graduate-Level Rubrics & Assignments: Includes an updated rubric evaluating academic mechanics, evidence analysis, and APA standards.
Authors
- Mopelols Fatile (ORCID: https://orcid.org/0000-0002-9789-4658)
Institutions
- Grand Canyon University (US)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-10-31
- DOI
- https://doi.org/10.5281/zenodo.23839511
- Primary Topic
- Artificial Intelligence in Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00