2021 AI Symposium
Date: October 30, 2021 | 10 AM – 4 PM
The symposium aims to bring together participants from both academia and industry who are interested in the foundations or real-life applications of artificial intelligence.
This year the format for our symposium will be virtual. Our invited speakers and panelists will be presenting online (Zoom webinars). The poster session will be hosted on the Gather Town platform. Please familiarize yourself with the VirtualChair/gather.town platform by watching this intro video and the Virtual Chair Guide. For technical issues please email:
Ready to join us? Please read the guidelines below:
The link to the virtual venue will be posted on this webpage in the morning at the event at 9am.
Call for Posters
Deadline for full poster submission is Oct. 25 at 11am ET.
Upload your full poster HERE
We use Gather as a platform for this session, please read the details about the poster format HERE
Poster presenters are not allowed to promote their company.
Registration is required, deadline: Oct. 28.
10:00 – 10:10 am
Welcome, Introduction to AI lab
Rada Mihalcea (Director Michigan AI)
10:10 – 11:10 am
JULIE SHAH: Human-Machine Partnerships and Work of the Future
Session chair: Joyce Chai (Michigan AI)
11:10 – 11:40 am
Theme: Human-AI Collaboration
Session chair: Emily Mower Provost (Michigan AI)
Xu Wang: Sourcing Student Open-Ended Solutions to Create Scalable Learning Opportunities
Odest Chadwicke Jenkins: Distributed Teaching Collaboratives for Addressing Systemic Disparities in Artificial Intelligence
11:40 – 12:00 pm
Lightning Talks: Rising AI Stars Talks
Session chair: Jenna Wiens (Michigan AI)
12:00 – 1:30 pm
Research Poster Session
1:30 – 2:30 pm
MELANIE MITCHELL: Why AI Is Harder Than We Think
Session chair: Rada Mihalcea (Michigan AI)
2:30 – 3:00 pm
Theme: Fairness and Human Values in AI
Session chair: Benjamin Kuipers (Michigan AI)
Lu Wang (Michigan AI): Convince Me If You Can: Natural Language Generation for Argumentation
Benjamin Fish (Michigan AI): The Value Gap in Human-Algorithm Interaction
3:00 – 3:30 pm
Theme: Trustworthy and Robust Machine Learning
Session chair: David Fouhey (Michigan AI)
Maggie Makar (Michigan AI): Causally Motivated Shortcut Removal Using Auxiliary Labels
Michal Derezinski (Michigan AI): What is the Cost of Interpretability in Dimensionality Reduction?
3:30 – 4:00 pm
Birds-of-a-Feather Open Discussions (Parallel Sessions)
Theme: Human-AI Collaboration: Xu Wang and Odest Chadwicke Jenkins (Michigan AI)
Theme: Fairness and Human Values in AI: Lu Wang and Benjamin Fish (Michigan AI)
Theme: Trustworthy and Robust Machine Learning: Maggie Makar and Michal Derezinski (Michigan AI)
4:00 pm Closing remarks
Call for Sponsorship
If you are interested in becoming a sponsor of the symposium, please contact us at: firstname.lastname@example.org
Call for Sponsorship
The symposium is organized by the Michigan AI Lab. Contact us at email@example.com.
Joyce Chai, Professor of Computer Science and Engineering. University of Michigan
Rada Mihalcea, Janice M. Jenkins Collegiate Professor of Computer Science. Director of Michigan AI
Poster/Demos Session chairs:
Emily Bao (Michigan AI): firstname.lastname@example.org
Sarah Jabbour (Michigan AI): email@example.com
Local arrangement chair: