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AI Info Sessions

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Sessions takes place on Thursdays from 2:00 PM to 3:00 PM via Zoom.

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The Office of Responsible AI series - AI Info Sessions - is designed to help the University of Arizona and the local community build confidence, fluency, and shared understanding around responsible artificial intelligence. Each virtual session is intended to spark curiosity, create a common language, and bring clarity to responsible AI and what “AI at work” looks like.

We invite you to join sessions that will address topics such as:

  • AI basics and advanced capabilities
  • How secure AI works
  • What we mean by responsible AI
  • Licensed campus AI tools and resources
  • AI for Research
  • Terminology shaping today’s AI landscape
  • AI for Project Management
  • Copyright and data privacy considerations

Attend a Session

AI Info Sessions takes place on Thursdays from 2:00 PM to 3:00 PM via Zoom. Each session explores a unique responsible AI-related topic designed to inform and inspire. The series is designed to deepen understanding of responsible AI practices by presenting a distinct, carefully selected topic during every session. While the Spring semester dates are set, the specific topics for each session is unique and are finalized accordingly —stay tuned for updates.

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Ask, Learn, and Connect

Whether you are faculty, staff, a student, or a member of our local community, you will find opportunities to learn about different aspects of responsible AI in a supportive, interesting, and conversational environment. Each session wraps up with a live Q&A, and recordings will be available on this page. If your department or team would benefit from a tailored group session, fill out the online request form.

View all Past AI Info Sessions

 Request a tailored group session

AI Info Sessions Presenters

Carlos Lizárraga-Celaya is a highly experienced Computational and Data Scientist at the Arizona Institute for Artificial Intelligence and Society (AI2S). His extensive career, spanning 30+ years, is built on a foundational technical background in Physics and Applied Mathematics.  Carlos holds an M.Sc. in Applied Mathematics (University of Arizona), an M.Sc. in Physics (UNAM), and a Ph.D. in Environmental & Water Sciences (ITSON). This strong scientific foundation allowed him to perform research as a Professor of Physics at the Universidad de Sonora from 1990 to 2021. His work included complex areas such as Climate Change Science, Micrometeorological Modeling, and the application of Machine Learning algorithms in Agriculture. He is deeply skilled in Mathematical Modeling / Numerical Analysis Algorithms. Carlos supports graduate students, staff, and faculty in assimilating advanced computational, data, and AI/ML science methods.

Past AI Info Sessions

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