2019 AI Symposium
Join us on October 19, 2019 for a day of AI
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
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.
Waiting list >
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: email@example.com
The symposium is organized by the Michigan AI Lab. Contact us at firstname.lastname@example.org.
Local arrangement chair:
Poster session co-chairs:
Matthew Perez, Preeti Ramaraj
Venue and directions
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).
Symposium introduction, Rada Mihalcea, Director Michigan AI
Session chair, John Laird, Michigan AI
AI and Robots in the Real World, Edwin Olson, Michigan AI & May Mobility
Robot Learning through Language Communication, Joyce Chai, Michigan AI
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
Session chair, Jenna Wiens, Michigan AI
Why Reinforcement Learning? Satinder Singh, Michigan AI
AI for Improved In-Flight Situational Awareness and Safety, Ella Atkins, Michigan AI
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)
Building Knowledge For AI Agents With Reinforcement Learning, Doina Precup, McGill Univ., MILA, DeepMind
Introduced by Satinder Singh, Michigan AI
Ethics & AI panel
Moderator: Benjamin Kuipers, Michigan AI
Panelists: Ella Atkins, H.V. Jagadish, Michael Wellman