When I appeared before the Standing Committee on Canadian Heritage last fall for its study on AI and the creative industries, I emphasized that the large language models and generative AI systems that are reshaping how people access information, culture, and entertainment are only as representative as the data on which they are trained. If Canadian works, perspectives, and cultural content are absent from those models, Canada risks disappearing in the AI-mediated world. The committee’s report, released this month, acknowledges this concern, but its lead recommendation risks making the situation worse.
Latest Posts
Addressing the AI Policy Challenge: My Appearance before the Standing Senate Committee on Transport and Communications
Earlier this week, I appeared before the Standing Senate Committee on Transport and Communications as part of its study on AI regulation. This follows earlier appearances before the House of Commons Heritage and Industry committees on the same issue. The hearing led to robust exchanges with multiple Senators on the intersection of AI policy with issues such as privacy, copyright, online harms, and sovereignty. I plan to post clips from the hearing in a future Law Bytes podcast, but in the meantime, my opening statement provides a good sense of my views on AI regulation with respect to privacy, copyright, and the need for an AI Transparency Act. A video of the opening statement is embedded below, followed by the text.
Lawful Access Heads to Committee: The Opposition Found Its Voice, the Government Never Found Its Defence
After several days of debate in which the opposition to lawful access seemed half-hearted at best, the Conservatives woke up on Monday. MP after MP rose to argue, correctly, that Bill C-22 represents an unprecedented surveillance threat: mandated metadata retention (including location information) for up to a year, security vulnerabilities built into the interception architecture the bill requires, and a weakened legal standard for access to subscriber information. After days of debate with the government visibly struggling to defend its own legislation, this is precisely what the opposition should be targeting (coverage from day one, day two, day three).
Is Data De-Identification Dead?: Why the AI Privacy Risk Isn’t What It Learns, But What It Figures Out
In 1997, an MIT graduate student named Latanya Sweeney stunned the privacy world by matching publicly available voter rolls with hospital records stripped of names and addresses to identify the supposedly anonymous medical history of the then-governor of Massachusetts. Three years later, she expanded on that finding by demonstrating that 87 per cent of the U.S. population could be uniquely identified using just three data points: ZIP code, date of birth and gender.
My Globe and Mail op-ed notes that Ms. Sweeney’s work shaped privacy frameworks worldwide, which responded with de-identification standards designed to manage the risk by removing obvious identifiers, applying statistical tests and treating the resulting data as safe to use. Indeed, a core tenet of modern privacy regulation rests on the premise that de-identified data can be used, disclosed and commercialized without compromising individual privacy.
The Law Bytes Podcast, Episode 265: Jason Millar on Claude Mythos, Project Glasswing, and the Governance Crisis in Frontier AI
In a year in which AI has truly dominated much of the news cycle, the story of Anthropic’s Mythos may be the biggest story of them all. A version of the popular Claude AI service is reportedly so powerful that the company can’t release it to the public yet. As governments race to meet with company officials, there are serious cybersecurity risks, prompting many leading software companies to join a new working group to get ahead of the issue before the AI model is publicly released.
Jason Millar is a colleague at the University of Ottawa, where he holds the Canada Research Chair in the Ethical Engineering of Robotics and Artificial Intelligence. He joins the Law Bytes podcast to talk about Anthropic’s Mythos, the AI governance challenges, the importance of distinguishing between AI security and AI safety, and what governments should be doing to address this latest AI challenge.
Recent Posts
AI Without Canada: Why the Heritage Committee’s AI Report Could Lead to Less Canadian Content in the Training Data 
Addressing the AI Policy Challenge: My Appearance before the Standing Senate Committee on Transport and Communications 
Lawful Access Heads to Committee: The Opposition Found Its Voice, the Government Never Found Its Defence 
Is Data De-Identification Dead?: Why the AI Privacy Risk Isn’t What It Learns, But What It Figures Out 
The Law Bytes Podcast, Episode 265: Jason Millar on Claude Mythos, Project Glasswing, and the Governance Crisis in Frontier AI
