AI Ethics Building Workshop
A flexible, multi-format workshop designed for university students to assess Generative AI use within an ethical, scholarly framework. The learning outcomes are consider its application in academic settings and lead each student to create an ethics code.
Responsibility
Survey author, Creator, Co-Facilitator
Tools Used
Powerpoint; Google Docs; Trello; Canva; Qualtrics
University students, cross-disciplinary, all degree levels
Audience
The Problem
The Solution
My current school has no formal AI policy for faculty or student use. Both were struggling with how, when, and even whether or not to engage with Gen AI tools in their research, learning, writing, and assessment. Concerns over the appropriate use of AI in a scholarly setting were widespread, spilling into tension between faculty and students navigating the balance of innovation and opportunity against authenticity and ethics.
Context: a community navigating AI with no shared norms or shared vocabulary
Tension: rising anxiety alongside uncritical adoption; tension among faculty about best practices; students concerned about career growth and exposure to new technologies
Timing: Before a university AI policy had been formalized; policies on the department level were vague or confusing.
The opportunity seen was to encourage students to apply their own ethical views to informed choices on the use of AI.
These sessions were designed to open a dialogue, not to advocate for or advise against the use of AI. I hoped to create a safe space for students to explore their questions and concerns, and provide a framework for their own ethical decision-making.
Process
As a fact-finding component, a faculty survey was sent to 21 cross-institutional participants.
results indicating a need for university-wide, transparent, and objective Gen AI instruction.
Action Map
Mockup and Style Guide
Development
Results& Takeaways
