2023 AI Symposium

Date: October 17, 2023

Join us for a day of AI: research talks, posters, demos, and plenty of networking opportunities.

Our symposium aims to bring together participants from both academia and industry who are interested in the foundations or real-life applications of artificial intelligence.

The symposium will take place on North Campus, in the Bob and Betty Beyster building (room 1670 and Tishman Hall).

Parking-information Download

Free and open to the general public. Registration required, see below.

Call for Posters

Poster presenters are not allowed to promote their company.

Please register your poster by Oct 2 by using the link above.

Symposium Registration

The symposium is free and open to the general public.

Please register for the symposium by Oct 10 using the link above.

Keynote Speakers:

**MICHAEL BERNSTEIN**
**Associate Professor**
Computer Science
Bass University Fellow STMicroelectronics Faculty Scholar
STANFORD UNIVERSITY

**ALEXEI (ALYOSHA) EFROS**
**Professor**
Electrical Engineering & Computer Science
Berkeley Artificial Intelligence Research Lab (BAIR)
UNIV. OF CALIFORNIA, BERKELEY

Program

ALL THE TALKS WILL TAKE PLACE IN ROOM 1670 IN BOB & BETTY BEYSTER BUILDING, U-M North Campus

9:00 – 9:20 am Registration (T-shirts giveaway!) (Lobby – BEYSTER BUILDING)

9:20 – 9:30 am Welcome, Introduction to Michigan AI Lab

9:30 – 10:30 am Keynote Talk Abstract

Michael Bernstein | Generative Agents: Interactive Simulacra of Human Behavior
Session Chair | Anhong Guo

10:30 – 10:40 am COFFEE BREAK

10:40 – 11:20 am Invited Talk A b s t r a c t s

JJ Park | Responsible AI and Responsibility of AI
Robin Brewer | Representing Older Age and Disability in LLMs
Session Chair | Andrew Owens

11:20 am – 12:10 pm Lightning Talk Abstracts

Zhijing Jin | Causal NLP Research and the Way towards Social Good
Guandao Yang | Neural Caches for Monte Carlo Partial Differential Equation Solver
Aadirupa Saha | Personalized Preference-Bandits: Learning to make customized user predictions through preference elicitation
Nur Yildirim | Discovering the Right Things to Design with Artificial Intelligence
Lu Mi | Bridge the gap between biological and artificial neural networks
Gengshan Yang | Towards 4D Capture of Objects and Scenes from Casual Videos
Session Chair | Rada Mihalcea

12:10 – 12:30 pm Posters Pitch

Session Chairs: Gregory Croisdale & Ryan Feng

12:30 – 2:00 pm LUNCH and Research Poster/Demo Session Submissions

2:00 – 3:00 pm Keynote Talk

Alexei “Alyosha” Efros | Understanding your data as the first step toward Responsible Responsible AI
Session Chair | Stella Yu

3:00 – 3:20 pm COFFEE BREAK

3:20 – 4:00 pm Invited Talk Abstracts

Alexander Rodriguez | AI for Public Health: Epidemic Forecasting Through a Data-Centric Lens
Elizabeth Bondi-Kelly | Realizing AI for Impact: Human-AI Collaboration in Public Health and Conservation
Session Chair | Ben Kuipers

4:00 – 5:00 pm AI Responsibility Panel

Panelists | Michael Bernstein, Alexei Efros, Ben Kuipers, Rada Mihalcea, Emily Mower Provost
Moderator | Benjamin Fish

5:00 pm Closing remarks

Symposium Sponsors

Silver Level Sponsors

Bronze Level Sponsors

Call for Sponsorship

If you are interested in becoming a sponsor of the symposium, please contact us at: aisymposium@umich.edu

Organization

The symposium is organized by the Michigan AI Lab. Contact us at aisymposium@umich.edu.

General chairs:
Stella Yu, Professor of Electrical Engineering and Computer Science. University of Michigan

Anhong Guo, Assistant Professor in Computer Science, University of Michigan

Local arrangement chair:
Christina Certo, Program Manager of Strategic Initiatives, AI Lab, University of Michigan

Events