Critical Challenges in Generative AI: Exploring Privacy, Ethical Implications, Integrity, and Bias

This mini-workshop focuses on the limitations of generative artificial intelligence, with a particular emphasis on privacy, ethical considerations, academic integrity, and equity and bias concerns. Participants will be introduced to high-level issues in these areas, preparing them for further extensive training opportunities.

Workshop Outline:

• Academic Integrity
  • The role of GenAI in maintaining or challenging academic standards
  • How to evaluate student work in a GenAI era
  • How students can demonstrate effectively where they have and haven’t used GenAI
  • How to use GenAI ethically and effectively in classwork
• Bias Concerns
  • Examining how GenAI can perpetuate or mitigate biases
  • Recommendations for how to prompt to reduce bias in output
• Responsibilities and Risks of Using GenAI
  • GenAI is popping up everywhere (Google, Apple)
  • Sensitive data types should only be used in U-M tools
• Privacy and Legal Concerns
  • Understanding the privacy issues and legal implications associated with the use of GenAI

Audience: Staff, Instructors, and Students

Recommended Prerequisites: 

A or B:

A. Introduction to GenAI: Unpacking Key Concepts (Mini Workshop)

B. Generative AI Basics (Full Workshop)

Zoom join URL: https://umich.zoom.us/j/98888582214

This workshop is part of the new ITS Generative AI Mini-Workshop Series designed to offer a rich, engaging experience in just 45 minutes per session. With an expanded range of topics, these ten workshops are tailored to meet the varied interests and needs of instructors, staff, and students.

Each workshop topic will be offered twice a week over ten weeks, allowing participants the flexibility to complete the entire series with their choice of one 45-minute workshop per week. Participants will be able to earn new badges for participating in the series. Visit the ITS Generative AI Workshop Series page to learn more about the series.