AI Governance Reading Group

Welcome to the MILA's AI Governance Reading Group: a bi-weekly meeting to discuss AI Governance topics with researchers and students from diverse backgrounds! Each week, we alternate between discussion-based sessions (we choose a topic and a paper related to that topic, and invite everyone to read the article and come and discuss the topic) and speaker-based sessions (a speaker will come and present their research). Everyone is encouraged to join the discussion, even if you don't know much about the topic!

If you have any questions please reach out to Tamara Paris (tamara.paris@mail.mcgill.ca) or Veronica Xia (veronica.xia@mila.quebec).

Upcoming Sessions

Topic: What transparency should be required of AI companies/organizations to ensure legal accountability?

[Discussion-Based Session]

Time: 1:00-2:00pm EST, February 5, 2026

Main paper we will discuss: "Null Compliance: NYC Local Law 144 and the challenges of algorithm accountability." Lucas Wright et al. Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency. 2024. (https://arxiv.org/abs/2406.01399)

Description:We will discuss the transparency requirements that could or should be imposed on AI companies and organizations to ensure effective governance and legal compliance.

Speaker: Alan Chan

[Speaker-Based Session]

Time: 10:00-11:00am EST, February 19, 2026

Description:TBD