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Danger due to Doug Ford by Mary Crandall https://flic.kr/p/2f18PSf CC BY-NC-ND 2.0

The Law Bytes Podcast, Episode 266: Justin Safayeni on the Ontario Government’s Overnight Evisceration of Access to Information

Just over a month ago, the Ford government tabled Bill 97, an omnibus bill with provisions fundamentally restructuring Ontario’s access to information system. Information and Privacy Commissioner Patricia Kosseim responded with alarm, but the government rushed ahead with no hearings or public debate. The most significant rewrite of Ontario’s access to information regime in nearly forty years became law within weeks. Justin Safayeni, a partner at Stockwoods LLP in Toronto, is one of Canada’s leading practitioners in access to information and media law. He joins me on the Law Bytes podcast to make sense of what just happened and what comes next.

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April 27, 2026 1 comment Podcasts
the world needs more canada by Ian Muttoo https://flic.kr/p/SwnSJh CC BY-NC-SA 2.0

AI Without Canada: Why the Heritage Committee’s AI Report Could Lead to Less Canadian Content in the Training Data

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.

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April 24, 2026 4 comments News
The algorithm is gonna get you by Duncan C https://flic.kr/p/2kzyYQ7 (CC BY-NC 2.0)

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.

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April 21, 2026 3 comments Columns
Claude AI by Anthropic by Anthropic (Ryan Donegan) CC BY 2.0 https://flic.kr/p/2rawkpK

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.

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April 20, 2026 Comments are Disabled Podcasts