Work Group on Generative AI

The goal of the work group is to assess the opportunities and  challenges of generative AI in the classroom and develop guidance for faculty.

The charge of this work group is to explore the questions below. 

  1. What are the opportunities and challenges related to generative AI in teaching and learning (both broadly and more specifically for instructors at Berkeley)?
  2. What does generative AI mean for a new age of teaching and learning (e.g., what does it mean epistemologically?, how does it help or hinder essential educational skills for future Berkeley grads?)
  3. What are the greatest needs for instructors in using generative AI in teaching and learning?
  4. Do the AI resources available on campus (e.g., via CTL) meet the needs of Berkeley instructors and best position them for the effective and responsible use of generative AI in teaching and learning?
  5. What are the resource gaps/needs to support Berkeley instructors and students for a range of options related to the use of AI in the classroom?
  6. How can gen AI be leveraged to support student learning outcomes?
  7. What are the next steps for meeting any resource/guidance/policy needs to support the effective and responsible use of generative AI in teaching and learning?

Committee Roster 2024-25

Leadership

  • Joseph Gonzalez (EECS) – Co-chair 
  • Zsolt Katona (Business) – Co-chair 

Members

  • Jenae Cohn (Center for Teaching & Learning) 

  • Sonia Katyal (Law) 

  • Shreeharsh Kelkar (Interdisciplinary Studies Field) 

  • Massimo Mazzoti (History) 

  • Line Mikkelsen (Linguistics) 

  • Erfan Mojaddam (Research, Teaching, & Learning) 

  • Narges Norouzi (EECS) 

  • Kathleen Ryan (PMB) - Spring 2025 
  • Alex Saum-Pascual (Spanish & Portuguese) - Spring 2025 
  • David Skolnick (Continuing Lecturer, College Writing Programs) 
  • Tim Tangherlini (Scandinavian) 

Contact

  • Contact Chairs directly