April 2026Gen(Z)AI | Forum Report: AI & Age Assurance
Full Report
“The internet is a vital fixture in how young Canadians live, learn, and connect. Yet as national calls for digital age assurance regulation on platforms and AI systems intensify, safeguarding youth online has become an urgent priority.
The final forum on AI and Age Assurance addressed this multifaceted subject by drawing on insights from previous forums. Participants explored the complex challenges of age assurance and new ways of protecting young Canadians' experiences online beyond restricting their access. This marked the end of the youth-led deliberative process of Gen(Z)AI”
— Nonso Morah, Report Author and Lead Youth Fellow, Gen(Z)AI Forum on AI & Age Assurance
Executive Summary
Gen(Z)AI is a first-of-its-kind youth assembly that focuses on artificial intelligence (AI), bringing together 100 young Canadians aged 17–23 from across the country to contribute directly to discussions on the future of AI governance in Canada. The initiative is jointly organized by the Centre for Media, Technology and Democracy and the Dialogue on Technology Project, in partnership with Mila, Quebec’s AI Institute and Make.org.
This report outlines the purpose, methodology and key findings from the fourth and final Gen(Z)AI forum, held in Halifax and focused on AI and Age Assurance. The Halifax forum was one of four regional forums, alongside sessions on chatbots, information integrity, and data privacy. Over three days, participants engaged with expert speakers, took part in workshops, and deliberated on policy challenges and opportunities related to AI and Age Assurance. A consolidated final report, detailing the policy recommendations from all four regional forums, will be released on April 30, 2026 marking the conclusion of the project.
Forum Focus: AI & Age Assurance
The final forum of Gen(Z)AI examined the various approaches employed by online operators to verify the ages of their users. Debates around age assurance have been steadily moving to the forefront of Canada's legislative agenda. These mechanisms seek to restrict younger users’ access to potentially explicit, harmful, and inappropriate content, often through AI-based age assessments conducted by third-party verification platforms (AVP). A 2024 consultation by the Office of the Privacy Commission of Canada (OPC) found that the implementation of age assurance technologies necessitates clear commitments to proportionality, data minimization and safety-by-design standards.
Participants at the Halifax forum expressed dissatisfaction with the state of existing age assurance technologies and their impacts on privacy and anonymity. Throughout deliberations, several areas of concern were raised: an overreliance on restrictive measures rather than on addressing structural deficiencies; limited domestic enforcement standards; and insufficient transparency regarding how personal verification data is collected, stored, and used. Notably, many participants raised strong objections to the normalization of invasive identification and personal data collection, even when well-intentioned. They felt that these practices set alarming precedents for how future generations are expected to engage online and that they reinforce harmful surveillance practices. Participants emphasized that the values they deemed important to their digital lives, including accountability, security, safety, service, well-being, and adaptability, affirming that online participation, at any age, should not come at the cost of personal agency and safety.
The final forum combined expert briefings, preparatory resources, interactive workshops and deliverable policymaking sessions. Participants were encouraged to develop a comprehensive and nuanced understanding of what age assurance entails. Perspectives on age verification practices, risk factors and global industry standards were shared as they deepened their comprehension and worked collaboratively to identify priority concerns and policy directives.
Key Issues
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AI-enabled age assurance technologies undermine privacy and digital safety by exposing users to potentially harmful storage and use of their data.
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The use of verification technologies to restrict young people’s access to social media, AI platforms, and online community spaces increases the risk that restricted users could be displaced to unmoderated and dangerous platforms.
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Generative AI platforms pose unique risks to children, including by increasing their access to harmful content and negatively impacting their cognitive and social development.
Preliminary Recommendations
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These include policy tools that mandate compliance measures and remedies for harms caused by opaque and unsafe biometric data standards.
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These policies address harm before it emerges by enforcing age-appropriate online safeguards and adaptive features.
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These include policies that leverage educational awareness, public campaigns and literacy-building initiatives.
Report Author: Nonso Morah
Project Leads: Helen Hayes, Fergus Linley-Mota
Contributors, Alexander Martin, Madeleine Case, Julian Lam
Operations Lead: Sequoia Kim
Designers: Ibrahim Rayintakath (Illustration), Mathilde Robert (Cover layout)
Layout Editor: Sequoia Kim
Special Thanks: Anna Jahn, Taylor Owen
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