Canada Urged to Lead Health AI Alliance
The next geopolitical contest may not be fought over oil or critical minerals, but over data and artificial intelligence. Health data and AI systems will shape medical advances and the future of healthcare. Algorithms that identify cancers early, allocate hospital resources, and accelerate drug discovery will help respond to pandemics and health crises.
For Canada, this presents both a risk and an opportunity. Prime Minister Mark Carney has warned of a fracturing global order, pushing countries to rethink economic and technological sovereignty. Canada cannot compete directly with the United States or China in an AI arms race.
Canada’s Unique Position in Health AI
Instead, Canada should lead a middle-power alliance for health AI, built on shared data governance and technology platforms. It already possesses one of the world’s most valuable health-data assets, thanks to its single-payer health system and diverse population.
This combination of diversity and breadth across 42 million people is essential for health AI. Many existing AI systems are trained on small, homogeneous populations, raising concerns about bias. Canada’s diversity makes it well-positioned to build globally relevant health AI.
The Need for Collaboration
However, Canada acting alone won’t be enough. The center of gravity in AI development is consolidating among a few American and Chinese tech giants with unmatched computing power and talent. Much of the world’s digital infrastructure is controlled by U.S. companies subject to the CLOUD Act, which can compel data access.
Access to cutting-edge AI algorithms can be abruptly restricted, as seen with the U.S. government’s decision to suspend access to Fable 5/Mythos 5 models for non-American entities. As AI becomes embedded in healthcare, this vulnerability grows.
A Middle-Power Consortium
European countries have responded with strict data-sovereignty laws, such as banning American platforms. However, this fragmentation limits the scale and diversity needed for fair and reliable AI systems. Middle powers could pool their strengths and share the financial costs of advancing health AI while preserving national control over data and algorithms.
Emerging common data standards and federated analyses allow data to contribute to AI development without leaving a country. Algorithms can be improved through diverse, multinational datasets, while underlying health data remain secure within each country’s borders.
A middle-power consortium could reduce dependence on American or Chinese ecosystems and have significant financial implications. The global health AI market is projected to exceed $1 trillion within the next decade. Health AI offers Canada a rare opportunity to translate scientific excellence into global leadership.
International health-data collaboration is also essential for better patient care. More diverse datasets can reduce AI bias and improve fairness, addressing public concerns. Shared AI systems could enhance medical triage and pandemic preparedness.
Artificial intelligence in healthcare is rapidly evolving, and Canada’s role in its development could be transformative.
