I Can’t Go On, I’ll Go On: AI in the University – 2nd Edition

Discussion/Conversation
Register
Date
January 27, 2026,
12:00 pm – 2:30 pm PST
Location
DataX Impact Forum, 3312 Murphy Hall

We are excited to share the second edition of our collaboration with DataX. Designed as stand‑alone events, these seminars retain the same topic and structure as the first edition while featuring a new group of participants who bring fresh perspectives to the conversation.

Seminar Summary

AI is here whether we like it or not and everyone is or will be exposed to it. We must learn to confront it. Why are we even doing this? We find ourselves faced with contradictory impulses: on the one hand, resistance. Our students are threatened by these tools, will they learn to read and write, will they even bother to learn when these tools provide all the answers for them? On the other hand, the enthusiasm. Even beyond the hype coming from the AI platforms, many people are using AI, incorporating it into their work and research, discovering practical ways to make it work, or learning how it fails.

The objective of this seminar is to explore this contradictory response by talking to each other about what we are experiencing. It starts from the presumption that no one really knows what AI tools can and are doing to ourselves and our students. The imperative to use these tools is coming too fast for studies and surveys to keep up. Anyone who says they know what AI can do, is likely selling you AI.

What to do about it?

NNAI Livescu and DataX will host a seminar where teachers and researchers across disciplines/schools share these experiences: both the horror stories and the revelations, as well as the tricks, tips, warnings, confusions.  UCLA, like most universities, is introducing AI across campus at every level, without an intentional, full consultation or comprehensive review. We aspire to change that.

This session is designed around the following aims:

  • Get faculty, staff, and students talking to each other about current and future challenges in AI use at universities.
  • Encourage interaction, demonstration and participation when addressing how AIs could be introduced in academia.
  • Explore the dual impact of AI, highlighting both constructive contributions and potential drawbacks.

Read the full details here: https://livescu.ucla.edu/i-cant-go-on-ill-go-on-ai-in-the-university-2nd-edition/.