Canadian Privacy Regulators Call for AI Rules in Health Care
The Privacy Commissioner of Canada and other federal, provincial and territorial privacy regulators issued a resolution calling for responsible development, procurement and use of AI in health care and health research. They urged governments to review or adopt laws requiring AI systems to protect privacy, operate reliably and safely, support human rights, provide transparency and maintain accountability.
The regulators also called for legal requirements that make developers, service providers and health care organizations establish governance and accountability frameworks. Governments should consult privacy regulators when creating rules and engage with the public, particularly marginalized and vulnerable communities.
Health research agencies should update national ethics policies with detailed guidance for research involving AI, according to the resolution. The regulators also asked research ethics bodies to strengthen reviewer training and urged researchers to refine their risk and benefit assessments and to be transparent about, and share, the outcomes of their AI research.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like AI Policy Brief, Life AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Regulation
Oct 29 House Democrats seek Trump's AI chatbot records Oct 29 UK Business AI Adoption Doubles to 32% in 2026 Oct 29 New York Bill Would Let State Limit Compute for Risky AI Models Oct 29 UK AI Revenue Rises 41% to £33.6 Billion in 2025 Oct 29 US Reportedly Investigated Whether Nvidia Customer Executive Was a Chinese SpyMore from Life Sciences
Oct 29 WHO Europe Member States Adopt AI Health Roadmap Through 2033 Oct 29 SpendRule Raises $4 Million to Audit Hospital Vendor Bills Oct 29 Pew survey finds 60% of Americans uneasy with AI in medical care Oct 29 Kipu Health Launches AI Agent for Behavioral Health Reviews Oct 29 Google Expands Health AI Work in SingaporeAI Policy Brief
Weekly report on AI regulations, safety standards, government policies, and compliance requirements worldwide.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Indian Experts Call for Domestic AI Safety Framework
UK FCA Clarifies AI Rules for Financial Firms
Australian AI Inquiry Backs Independent Safety Checks
UK AI Minister Warns Cyber Defences Will Likely Be Breached
Canadian Judicial Council Issues AI and Digital Evidence Guidelines
Daily AI Brief: the AI news that matters, in your inbox.