Data gaps, colonial legacies and biased governance limit AI's equity in Canadian health care
Original framing: “AI is transforming health care, but not everyone will share the benefits” — The Conversation - Global
Community health advocates, Black physicians, Indigenous nurses, and patient‑led organisations have issued concrete policy briefs calling for mandatory bias audits and data‑governance reforms. Their testimonies reveal on‑the‑ground consequences of algorithmic errors, such as delayed cancer screenings for rural Indigenous patients. Elevating these voices shifts the discourse from abstract tech optimism to lived justice.
The Canadian health‑AI landscape is shaped by colonial data practices, scientific oversights, and a lack of inclusive governance, producing a system that privileges the already advantaged.
Indigenous sovereignty frameworks, rigorous bias audits, and co‑design with marginalised communities can re‑balance power and embed equity into algorithmic pipelines. Cross‑cultural precedents from New Zealand and Brazil demonstrate that legally recognised collective data rights are feasible and effective. By integrating artistic‑spiritual narratives and trickster insights, policymakers can surface hidden contradictions and craft future‑oriented, just AI that aligns with holistic health values.