AI Adoption & Policies
UNG ensures responsible AI adoption through rigorous vetting processes for enterprise tools and strict alignment with institutional policies on data governance, security, procurement, and implementing a modified Ethical Framework for AI in Higher Education. The original framework (PDF) was originally developed by a multidisciplinary team at California State University.
E - Exploration and Evaluation: Critically assess AI tools for purpose, context, performance, and ethical implications prior to adoption. Evaluation includes reliability, accessibility, and long-term impact.
T - Transparency and Accountability: Disclose when and how AI is used in student- or public-facing activities. Ensure clear roles for responsibility and oversight.
H - Human-Centered Approach: Maintain human agency and final authority in all AI-influenced decisions. AI should assist, not replace, human judgment.
I - Integrity and Academic Honesty: Use AI in ways that uphold UNG’s academic integrity policies and foster a culture of responsible, transparent scholarship.
C - Continuous Learning and Innovation: Support institutional learning and reflection on evolving AI technologies and practices. Promote faculty, staff, and student AI literacy.
A - Accessibility: Ensure AI use advances knowledge access, avoids bias, and supports inclusive learning, teaching, and research environments.
L - Legal and Ethical Compliance: Align AI use with all relevant laws, policies, and standards—including USG system guidance—on privacy, data security, intellectual property, and student rights.