The Privacy Advisor Podcast

For those following along with digital policy in Canada, the last few weeks have been chock full of developments. In early June, the Canadian government introduced its AI for All strategy, aimed at driving economic growth, bolstering digital sovereignty and increasing trust and safety. 
 
The government also released Bill C-34 - the Safe Social Media Act, which would ban children under age 16 from accessing certain social media platforms, and Bill C-36, which would reform the nation's privacy laws, including a significant restructure of its enforcement framework. 
 
Kris Klein is the IAPP Country Leader for Canada and partner at nNovation. I recently caught up with Kris to discuss these converging policy developments and what we can expect from the AI strategy and privacy reforms.

As artificial intelligence marches its steady pace into our day-to-day lives, the safety and privacy of children online continues to be a major concern for several governments and legislatures around the world. Australia became the first country that requires platforms to take reasonable steps to prevent children under 16 from accessing social media platforms; nearly a dozen nations have since considered similar age-based restrictions. 
 
In the U.S., a landmark jury verdict found Meta and Youtube liable for negligently designing systems that were addictive and caused mental health distress to a minor. Another child safety case in New Mexico indicates a growing legal shift in accountability for children's online safety. 
 
Alyson Stoner is an actor, singer, dancer and author, whose work goes back to early childhood. Their roles can be found in the Cheaper by the Dozen films, voice work in Phineas and Ferb, and background dancing for the likes of Missy E and Eminem.  
 
Stoner is also the author of the memoir "Semi-Well-Adjusted Despite Literally Everything," which details their mental health struggles as a child star and draws a powerful parallel between what they call child stardom's "toddler to trainwreck pipeline" to the impact social media is currently having on all child users. 
 
Stoner has since become a mental health advocate and was a keynote speaker at the IAPP Global Summit in 2026. While there, I sat down with Alyson to chat about their memoir and the significant effect social media and emerging AI systems play on children's neurological development.

The complexity and significance of international data flows have long been one of the major issues for privacy and digital responsibility professionals. In the last decade, two major frameworks - the EU-US Safe Harbor and EU-US Privacy Shield agreements - were both invalidated by the Court of Justice of the European Union. The EU-US Data Privacy Framework, however, remains intact, though it has faced one legal challenge in the last year. 
Bill Guidera, who serves as deputy assistant secretary in the U.S. International Trade Administration, leads a team that helps drive policy conditions for US digital, financial, supply chain and other service industries to innovate domestically and abroad. The team plays a significant role in administering and overseeing the DPF and plays a key leadership role on behalf of the US in the Global Cross-Border Privacy Rules Forum. 
 IAPP Editorial Director Jedidiah Bracy caught up with Mr. Guidera to discuss how the DPF is faring, the Latombe legal challenge to the framework, as well as the latest updates to the CBPR Forum, recent reciprocal trade agreements with Argentina and Bangladesh, and the ITA's work in artificial intelligence. Here's what he had to say.

It's no secret that large language models and artificial intelligence systems require massive amounts of data, which often runs up against fundamental privacy principles like purpose limitation and data minimization. Privacy and data protection laws - like the EU General Data Protection Regulation - feature concepts like the right to be forgotten and data subject access requests. But these are often in tension with modern AI systems. 
 
Some tools, however, are emerging. One of those methods is "machine unlearning," a suite of approaches to help remedy deletion requests of information that's already been used to train an AI model. 
 
Jevan Hutson, acting assistant professor and director of the Tech-Law Clinic at the University of Washington School of Law, recently co-wrote a law review article on machine unlearning and its implications for privacy law. 
 
In this episode, Hutson explains the concept of machine unlearning and how its suite of techniques can add to the tool belts practitioners and regulators alike.

The Asia-Pacific region is home to more than half the world's population - at 60% - with approximately 4.75 billion people. In recent years, India and Vietnam, to name just two, have enacted comprehensive data protection laws. Near the end of 2025, India finalized its highly anticipated regulations for the Digital Personal Data Protection Act and Vietnam's Personal Data Protection Law became effective on the first of January this year. 
 
Hogan Lovells Partner Charmian Aw has long practiced in the region, specializing in APAC data protection, privacy, AI governance and cybersecurity law and offers developments of the region in the IAPP's Asia-Pacific Dashboard Digest. She also joined the IAPP Publications Advisory Board this year. While attending the UK Data Protection Intensive in London, IAPP Editorial Director Jedidiah Bracy sat down with Charmian Aw to discuss the latest developments in the region, specifically regarding India and Vietnam. Here's what she had to say.