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.
Recent Posts
The Law Bytes Podcast, Episode 232: What Will Canadian Digital Policy Look Like Under the New Liberal Carney Government? 
The Law Bytes Podcast, Episode 231: Sara Bannerman on How Canadian Political Parties Maximize Voter Data Collection and Minimize Privacy Safeguards 
The Law Bytes Podcast, Episode 230: Aengus Bridgman on the 2025 Federal Election, Social Media Platforms, and Misinformation 
The Law Bytes Podcast, Episode 229: My Digital Access Day Keynote – Assessing the Canadian Digital Policy Record 
Queen’s University Trustees Reject Divestment Efforts Emphasizing the Importance of Institutional Neutrality
