MENU 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:
help+umich-2021-ai-symposium@virtualchair.net
Ready to join us? Please read the guidelines below:
The link to the virtual venue has been shared by email with all the registered participants.
KEYNOTE SPEAKERS:
Associate Professor
Department of Aeronautics and Astronautics
Computer Science and Artificial Intelligence Lab
Massachusetts Institute of Technology
Davis Professor of Complexity
Professor of Computer Science
Santa Fe Institute
Program
10:00 – 10:10 am
Welcome, Introduction to Michigan AI Lab (PLENARY ROOM)
Rada Mihalcea (Director Michigan AI)
10:10 – 11:10 am
Keynote Talk (PLENARY ROOM)
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 (PLENARY ROOM)
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 (PLENARY ROOM)
Session chair: Jenna Wiens (Michigan AI)
12:00 – 1:30 pm
Research Poster Session (POSTER ROOM)
1:30 – 2:30 pm
Keynote Talk (PLENARY ROOM)
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 (PLENARY ROOM)
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 (PLENARY ROOM)
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: The Next Big Thing in AI – Melanie Mitchell (ROOM A)
Theme: Future Workforce – Julie Shah (ROOM B)
Theme: Human-AI Collaboration – Xu Wang and Odest Chadwicke Jenkins (Michigan AI) (ROOM C)
Theme: Fairness and Human Values in AI – Lu Wang and Benjamin Fish (Michigan AI) (ROOM D)
Theme: Trustworthy and Robust Machine Learning – Maggie Makar and Michal Derezinski (Michigan AI) (ROOM E)
4:00 pm Closing remarks (PLENARY ROOM)
Call for Sponsorship
If you are interested in becoming a sponsor of the symposium, please contact us at: aisymposium@umich.edu
Call for Sponsorship
EVENT SPONSOR:
Organization
The symposium is organized by the Michigan AI Lab. Contact us at aisymposium@umich.edu.
General chairs:
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): yuweibao@umich.edu
Sarah Jabbour (Michigan AI): sjabbour@umich.edu
Local arrangement chair:
Aurelia Bunescu