2019 AI Symposium

The 2019 symposium took place on Oct. 19, 2019. We look forward to seeing you at the 2020 symposium.

Videos from the event are now available.

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

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.

The symposium is free and open to the general public. Registration required.

Call for poster contributions

Closed now.

Note: Poster presenters are not allowed to promote their company or give out promotional materials. If you would like to do that, please contact the symposium organizers for an alternative modality for your presentation.

Registration

Registration is now closed. You can add your name to a waiting list.

Keynote speaker

Prof. Doina Precup
McGill University, MILA, DeepMind

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 chair:
Rada Mihalcea

Local arrangement chair:
Aurelia Bunescu

Poster session co-chairs:
Matthew Perez, Preeti Ramaraj

Venue and directions

Stamps Auditorium
1226 Murfin Ave., Ann Arbor, MI, 48109

Nearby parking is available in lots NC48 and NC27. On the day of the symposium, parking restrictions for NC48 will not be enforced so anyone may park for no cost. Parking restrictions for NC27 will be in force; passes for blue spaces or payment at visitor spaces will be required.
North Campus map (pdf).

Program

Research talks will be given by Michigan AI faculty: Ella Atkins, Satinder Singh Baveja, Joyce Chai, David Fouhey, Justin Johnson, and Edwin Olson.

STAMPS Auditorium

8:30-9:00
Registration

9:00-9:15
Symposium introduction, Rada Mihalcea, Director Michigan AI

Session I
Session chair, John Laird, Michigan AI

9:15-9:33
AI and Robots in the Real World, Edwin Olson, Michigan AI & May Mobility

9:33-9:51
Robot Learning through Language Communication, Joyce Chai, Michigan AI

9:51-10:09
From Recognition to Reasoning, Justin Johnson, Michigan AI

10:10-10:30 Invited Lightning Talks
Machine Learning for the Real World: Provably Robust Extrapolation, Angie Liu, CalTech
Low-Resource Languages: A Challenge for Natural Language Processing, Katharina Kann, NYU
Visual Deprojection: Probabilistic Recovery of Collapsed Image Dimensions, Guha Balakrishnan, MIT

10:30-11:00
Coffee break

Session II
Session chair, Jenna Wiens, Michigan AI

11:00-11:18
Why Reinforcement Learning? Satinder Singh, Michigan AI

11:18-11:36
AI for Improved In-Flight Situational Awareness and Safety, Ella Atkins, Michigan AI

11:36-11:54
Recovering a Functional and Three Dimensional Understanding of Images, David Fouhey, Michigan AI

11:55-12:15 Invited Lightning Talks
Wiggum: Simpson’s Paradox Inspired Fairness Forensics, Sarah Brown, Brown
Data Efficient Individual Treatment Effect Estimation, Maggie Makar, MIT
Racial Discrimination in Policing: 5 Problems in 5 Minutes, Emma Pierson, Stanford

TISHMAN HALL (Bob & Betty Beyster Building, lobby)

12:15 – 2:00
Lunch and Posters & Demo session
See the list of demos and posters here (PDF)

STAMPS Auditorium

2:00-3:30
Building Knowledge For AI Agents With Reinforcement Learning, Doina Precup, McGill Univ., MILA, DeepMind
Introduced by Satinder Singh, Michigan AI

3:30-4:00
Coffee break

4:00-5:00
Ethics & AI panel
Moderator: Benjamin Kuipers, Michigan AI
Panelists: Ella Atkins, H.V. Jagadish, Michael Wellman