Bill C-27, the government’s privacy and artificial intelligence bill is slowly making its way through the Parliamentary process. One of the emerging issues has been the mounting opposition to the AI portion of the bill, including a recent NDP motion to divide the bill for voting purposes, separating the privacy and AI portions. In fact, several studies have been released which place the spotlight on the concerns with the government’s plan for AI regulation, which is widely viewed as vague and ineffective. Christelle Tessono is a tech policy researcher based at Princeton University’s Center for Information Technology Policy (CITP). She was one of several authors of a joint report on the AI bill which brought together researchers from the Cybersecure Policy Exchange at Toronto Metropolitan University, McGill University’s Centre for Media, Technology and Democracy, and the Center for Information Technology Policy at Princeton University. Christelle joins the Law Bytes podcast to talk about the report and what she thinks needs to change in Bill C-27.
Archive for November 28th, 2022
Recent Posts
Why Being Locked Out of Frontier AI is The Sovereignty Threat Canada Missed 
Blocked Twice: How Bill C-34’s Kids’ Social Media Ban Would Compound the Online News Act’s Harm to Young Canadians’ News Access 
The Law Bytes Podcast, Episode 275: David Loukidelis on Why Stripping Privacy Enforcement from Canada’s Privacy Commissioner in Bill C-36 is Unnecessarily Risky Policy 
The Data on Australia’s Social Media Ban: The Better the Privacy Protection, The Less Effective the Ban 
Shaky Ground Gets Shakier: What the U.S. Supreme Court’s Location Data Decision Means for Bill C-22
