Programs

AI Horizons Learning Series

This Learning Series has been organized as part of the AI Horizons Transdisciplinary Institute planning grant – but is open to the public, so please join us if interested!

The goal of this Learning Series is to help UR faculty, staff and students interested in interdisciplinary work around GenAI to learn from disciplines different than their own – so as to develop shared concepts and vocabulary that will facilitate collaboration.

Each event will involve a 1-hour Zoom session including a 30-45 minute introductory presentation on a specific topic, followed by Q&A aiming to explore connections and implications for GenAI work. To register for any event you are interested in, please click on the title below.

Artifacts created for each event (including partial recordings of the Zoom session) will be posted on this webpage – as a record that can be revisited as needed.

Embodied Learning for AI Literacy

By Zhen Bai (Computer science)

Thursday Oct.10, 2024 | noon – 1 pm via Zoom (TBA)

Presentation Slides

AI in Medicine: From Deep Learning to Large Language Models

By Jiebo Luo (Computer science)

Monday Oct.21, 2024 | 11 am – noon via Zoom (TBA)

How GenAI will Change Healthcare

By Michael Hasselberg & Kathleen Fear (Healthcare)

Monday Oct.28, 2024 | 11 am – noon via Zoom (TBA)

Safety and Ethical Issues in AI

By Jens Kipper (Philosophy)

Monday Nov.04, 2024 | 11am – noon via Zoom (TBA)

Artifacts from most recent events

Societal Implications of GenAI

By Jonathan Herington (Ethics)

Thursday Oct.3, 2024 | noon – 1 pm via Zoom 

  • Full Session Recording
  • Specific sections starting at:
    • 0:06: Overview of presentation
    • 11:14: Work- Al’s effect on labor markets & economic structures
    • 24:48: Trust- Al’s effect on “epistemic landscape”, social trust and human relationships
    • 43:58: Creativity- Al’s effect on human creativity & expression
    • 54:43: Q/A Session

Principles of Motivation, Learning and Teaching for AI Educational Applications and Development

By Raffaella Borasi (Education)

Monday Sept.23, 2024 | 11 am – noon via Zoom 

  • Full session recording
  • Specific sections starting at:
    • 3:19: Motivation: How can we get learners engaged?
    • 6:53: Learning: How do people learn?
    • 17:20: Pedagogy: How can learning be promoted/supported?
    • 22:51: Instructional design: How can we create effective learning experiences?
    • 33:09: Concluding thoughts
    • 36:13: Q/A Session
Sep26

What can AI Learn from Child Development?

By Karl Rosengren (Psychology)

Monday Sept.16, 2024 |  11 am – noon via Zoom

  • Full session recording
  • Specific sections starting at:
    • 00:06: Introduction
    • 02:19: Key points about human development
    • 04:34: Context matters
    • 05:32: Humans are complex systems
    • 07:00: How do we know what infants know?
    • 16:53: What comes “built in” to the infant?
    • 30:21: What Develops?
    • 42:22: What can Al learn from Development?
    • 43:15: Q/A Session
Sep12

Introduction to Large Language Models & Their Extensions

By Chris Kanan (Computer science)

Thursday Sept.12, 2024  | Noon – 1 pm via Zoom

  • Full session recording
  • Specific sections starting at:
    • 00:24: Welcome to the AI Horizon Learning Series
    • 00:56: Background of the Speaker
    • 01:37: Brief Overview of AI Horizons Institute
    • 02:38: What is Generative AI?
    • 15:08: What Can LLMs Do?
    • 17:23: LMM Extensions
    • 28:17: Anticipated Impacts of Generative AI
    • 32:02: Computational Requirements & Open-Weight LLMs
    • 40:57: Artificial General Intelligence & Existential Risk
    • 48:00: Wrap up
    • 48:36: Q/A Session