Montreal AI Symposium 2022

The Montreal AI Symposium aims at gathering experts and professionals interested in fundamental advances and applications of artificial intelligence, with an emphasis on machine learning, deep learning and related approaches. The Symposium welcomes both academic and industrial participants; it seeks to build strong connections between researchers within the Greater Montreal area.

For this year’s edition, the theme of the symposium will be responsible AI.  We will feature a day-long event, including keynote addresses, contributed talks and posters, panels, and roundtables. The event will also include time for networking and meeting with sponsors. We will end the day with a Social for networking and socializing.

General Information

When: Saturday, September 17, 2022 from 9am – 6pm EST

Where: Mila (in-person)

Who: Anyone interested in machine learning and artificial intelligence. Please register for the event here (Eventbrite)

Schedule: here

Submit your CV here if you would like it shared with our sponsors.

If you would like to serve on the program committee or help with the in-person event, please fill out the forms below:

Keynote Speakers

Carlos Castillo

Bio: Carlos Castillo (he/him) is an ICREA Research Professor at Universitat Pompeu Fabra in Barcelona, where he leads the Web Science and Social Computing research group. He is a web miner with a background in information retrieval and has been influential in the areas of crisis informatics, web content quality and credibility, and adversarial web search. He is a prolific, highly cited researcher who has co-authored over 100 publications in top-tier international conferences and journals, receiving two test-of-time awards, five best paper awards, and two best student paper awards. His works include a book on Big Crisis Data, as well as monographs on Information and Influence Propagation, and Adversarial Web Search. Twitter: ChaToX.

Sanmi Koyejo

Bio: Sanmi Koyejo is an Associate Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. Koyejo also spends time at Google as a part of the Google Brain team. Koyejo’s research interests are in developing the principles and practice of trustworthy machine learning. Additionally, Koyejo focuses on applications to neuroscience and healthcare. Koyejo has been the recipient of several awards, including a best paper award from the conference on uncertainty in artificial intelligence (UAI), a Skip Ellis Early Career Award, a Sloan Fellowship, an NSF CAREER award, a Kavli Fellowship, an IJCAI early career spotlight, and a trainee award from the Organization for Human Brain Mapping (OHBM). Koyejo serves as the president of the Black in AI organization.

Panel: Current Challenges to Responsible AI

Roundtable leads

Fairness &
algorithmic
harms

Fernando Diaz (Google Research)
Su Lin Blodgett (Microsoft Research)

Cybersecurity
&
Privacy

Ulrich Aïvodji (ETS
Montreal)
Sébastien Gambs
(UQAM)

Ethical
considerations

in AI

AJung Moon (McGill University)
Siva Reddy (McGill University)

Explainability
/ Transparency

Vera Liao (Microsoft Research)
Chris Srinivasa (Borealis AI)

Accountability
in AI

Dominique Payette (Borealis AI)

Robustness
& Safety

Nicolas Le Roux (Microsoft Research)

Call for Contributions

We invite you to submit a contribution to the 6th edition of the Montreal AI symposium. In order to promote research conducted in and around Montreal, at least one of the authors must be affiliated with an institution based in the province of Quebec.

We encourage submission of abstracts from both academic and industrial researchers, which can describe a technical or practical contribution, an open problem, an application or a position statement. Previously published material is acceptable. Do not include any confidential material.

Topics of interest include but are not limited to:

- Fundamental research in deep learning, reinforcement learning, kernel machines, Bayesian modelling, ensemble methods, optimization for machine learning;
- Fairness, Accountablity, Transparency and Ethics in AI
- Security, robustness, safety, interpretability, and privacy
- Implementation issues, parallelization, software platforms, hardware;
- Intersection of AI and Art.
- Applications, including vision, audio, speech, natural language processing, robotics, healthcare, bioinformatics.

Find instructions on how to submit your contribution here.
Submission deadline:July 26, 2022 EXTENDEDAugust 1, 2022.

Call for Sponsors

The organization of this event is entirely supported by sponsors, as registration is free of charge for attendees.
If you are interested in learning about our sponsorship offers for the Montreal AI Symposium, please contact the Symposium organizers or fill out the Sponsorship Interest form.

Organizing Committee

Senior Program chair:

Program Chairs:

Diversity and inclusion chairs:

Local chairs:

Code of conduct

This symposium aims at facilitating discussions and the exchange of ideas. We ask all participants to be respectful of others and to be aware of their own behavior. Registration for the symposium will require signing the code of conduct. Please take a look at the MAIS 2022 CODE OF CONDUCT.

Contact

Contact the organizers: mais2022.pc@gmail.com
Contact the diversity and inclusion chairs: mais2022.dc@gmail.com
Stay updated on the conference at @SymposiumAi