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.
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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.
Heads They Win, Tails We Lose: What Lies Behind the U.S. Trade Battle For Control over Data
My Globe and Mail op-ed begins by noting that the Trump administration’s emphasis on tariffs continues to garner headlines, but a more consequential trade battle over data control is playing out with far less public attention. Last week, the U.S. released its annual report on trade barriers and for the first time, Canada was listed alongside dozens of other countries for seeking greater control over its own data. The message is clear: When countries enact laws that restrict where data is stored and who can access that information, the U.S. treats them as a trade threat.
Setting Canada’s AI Policy Priorities: My Appearance Before the Standing Committee on Industry, Science and Technology
The Standing Committee on Industry, Science and Technology is one of several House and Senate committees currently grappling with legal, regulatory and policy challenges and opportunities presented by AI. I appeared before the committee yesterday alongside Yoshua Bengio and Colin Bennett. Bengio unsurprisingly garnered the lion’s share of the questions, but the committee did give me the chance to highlight my thoughts on policy priorities and to address a few questions. I plan to post some reflections on the policy tensions in the coming days. In the meantime, the video and text of my opening statement are posted below.
The Law Bytes Podcast, Episode 262: Zack Shapiro on the Claude AI Native Law Firm
What are the limits of using AI to help run a legal practice? There is much discussion about what an AI future might look like, but with the rapid development of AI tools, the future may be now. The hot AI service of the moment is Claude AI, which targets various verticals, including software development and legal services. Zack Shapiro is a New York lawyer and the founder of the Rains law firm. He is a Yale Law School grad who clerked in the U.S. federal courts and practiced at Davis Polk in New York. In a trio of recent articles, he draws on his own experience to argue that the general-purpose AI service is already sufficiently powerful to have a transformative effect on legal practice. He joins the Law Bytes podcast to discuss how he did it and what it might mean for the future of legal services.
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