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[Postponed] Humanizing Teaching and Learning in the Era of AI Conference

February 21 8:30 am - 12:30 pm

After careful consideration, UCLA Center X has decided to postpone this event until the 2026-2027 school year.

We recognize that March 28th is proving to be an exceptionally busy day for many educators in our region. To ensure that we do not detract from other important activities scheduled for that day, and to ensure the highest quality experience for all participants, we believe moving the conference to the next academic year is the best course of action.

UCLA Center X AI Conference

Postponed to 2026-2027 school year
March 28, 2026
8:30 am – 12:30 pm

How can educators ensure that teaching and learning remain deeply human in an era increasingly shaped by artificial intelligence?

Join UCLA Center X for a half-day convening that brings educators, scholars, and school leaders together to critically examine the role of AI in education, including its possibilities, limitations, and implications for equity, ethics, and classroom practice. Held at UCLA’s Moore Hall, this conference explores what human-centered teaching and learning can look and sound like as AI tools become more prevalent across TK–20 settings.

The conference will feature a keynote address by Professor Ramesh Srinivasan from the UCLA Department of Information Studies and Director of the UC Digital Cultures Lab. His work focuses on technology, democracy, culture, and human-centered approaches to the future. The keynote will be followed by discipline-specific breakout sessions designed to support educators in Math, Science, History, English Language Arts, Administration, and additional focus areas.

Throughout the morning, participants will engage with essential questions such as:

  • How do we humanize teaching and learning in the age of AI?
  • What might learning look and sound like in the age of AI?

By the end of the conference, participants will:

  1. Identify equity-centered opportunities for integrating AI in TK–20 classrooms
  2. Evaluate the risks and biases of integrating AI in TK–20 classrooms
  3. Critically reflect on the history, ethics, and utility of AI
  4. Develop an understanding of different types of AI, including machine learning
Fee: $100/participant

Includes parking, light breakfast and snacks

Registration is closed for this conference.

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