Key Takeaways
- Federal, provincial and territorial privacy regulators issued a joint resolution calling for responsible AI development and use in healthcare and medical research.
- The resolution identifies six core principles: privacy protection, reliability, safety, human rights, transparency and accountability.
- Regulators want stronger governance, meaningful public consultation, human oversight and updated research ethics guidance.
Canada Calls for Stronger AI Safeguards in Healthcare
Artificial intelligence is becoming part of healthcare, from supporting clinical decisions to helping manage medical information. But as these tools become more common, Canadian privacy regulators are warning that innovation must not come at the expense of patient rights, safety or trust.
What Privacy Regulators Announced
On October 29, 2026, Canada's federal, provincial and territorial privacy commissioners and ombuds announced a joint resolution calling for responsible development, procurement and use of AI systems in healthcare and medical research.
The resolution was adopted in Ottawa on September 15 at the annual meeting of federal, provincial and territorial information and privacy commissioners and ombuds.
The regulators say AI could help healthcare systems address mounting pressures, including rising costs, staff shortages, service delays and an aging population.if used responsibly, these technologies may improve efficiency, support decision-making and enhance patient care.
However, inadequate safeguards could expose personal health information to unauthorized collection or disclosure. Regulators also warn that inaccurate AI-generated conclusions and biased systems could contribute to discrimination and harm patients.
Six Principles for Responsible Healthcare AI
The resolution identifies six principles that should guide healthcare AI throughout its lifecycle: privacy protection, validity and reliability, safety, respect for human rights, transparency and accountability.
Regulators are urging governments to review or introduce legislation that supports these principles. They also want meaningful public consultation, particularly with marginalized and vulnerable communities, and legally required governance and accountability frameworks.
AI developers and service providers are being urged to use privacy-protective design, assess risks regularly and ensure their systems are properly tested. Healthcare providers should maintain human oversight, explain how patient information is used and provide ways for individuals to raise concerns or challenge consequential decisions.
The regulators also want national research ethics guidance updated to address AI-assisted health studies and strengthen the ability of research ethics boards to assess potential risks.
TwikUp's Perspective
The resolution highlights a challenge that healthcare organizations cannot afford to overlook: adopting AI is not simply a technology purchase. It requires clear responsibility for data, decisions and patient outcomes. Strong safeguards could help build confidence in useful medical innovation, while weak oversight could undermine that trust. The recommendations are calls for action, not a new nationwide AI healthcare law already in force.