Hosted by the TLC, UNLV Online, and IT, this session of the Spring AI and Teaching Workshop Series evaluates the ethical implications of AI use in teaching and learning from both instructors and students.

By the end of the workshop, participants will be able to: 

1. Recognize where AI ethics shows up in their daily work (teaching, research, admin).
2. Use a 3–4 question guardrail model to evaluate AI use in a concrete situation.
3. Determine when additional verification, transparency, or human oversight is required.
4. Identify at least one way to redesign an assignment, workflow, or research practice to make AI use more transparent and aligned with professional standards.
5. Shift from “How do I police this?” to “How do I structure this?”
6. Explain AI ethics as a matter of professional responsibility (accuracy, transparency, privacy, equity, human judgment).