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.
Recording of MAIS 2022
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)
Submit your CV here if you would like it shared with our sponsors.
MAIS2022 will be in person at Mila. You will need a valid registration to attend the event. We have limited capacity, so please register as early as possible. Priority will be given to students if we reach the venue capacity limit.
Update (Sep 2, 2022): in-person tickets are sold out!
If you are an author of an accepted paper and have not registered yet, you will receive instructions on how to register soon.
Update (Sep 9, 2022): in order to accomodate people who were not able to register for the in-person event, we will livestream the invited talks, contributed talks and panel. Please register on the online zoom below if you would like to attend virtually.
Keynote 1: Algorithmic fairness in link-based recommenders
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.
Keynote 2: Towards algorithms for measuring and mitigating ML unfairness
Bio: Sanmi Koyejo is an Assistant Professor in the Department of Computer Science at Stanford University and spends time at Google as a part of the Brain team. Koyejo’s research interests are in developing the principles and practice of trustworthy machine learning, focusing 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 is serving as the co-general chair of NeurIPS 2022 and is president of the Black in AI organization.
Panel: Current Challenges to Responsible AI
Ethics in AI
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.
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.
Senior Program chair:
- Golnoosh Farnadi, Mila & HEC Montreal
- Nadine Khairallah, Mila
MAIS 2022 will be hosted by Mila
If you would like to serve on the program committee or help with the in-person event, please fill out the forms below:
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 behaviour. Registration for the symposium will require signing the code of conduct. Please take a look at the MAIS 2022 CODE OF CONDUCT.