AI in health care must stay under human oversight

Pew Research Center reports that 60 % of American adults would feel uncomfortable if doctors relied on AI for diagnoses or treatment decisions. The same respondents are more tolerant of AI handling administrative tasks, but they still want a human professional to review any AI output.

For AI vendors, this puts the onus on designing systems that are transparent and easily audited. A human‑in‑the‑loop approach is not a luxury; it is a market requirement. Embedding clear opt‑outs and audit trails can turn distrust into a selling point, especially for firms targeting the U.S. health market.

In Canada, the regulatory climate – particularly Ontario’s strict privacy and consent rules – already favours solutions that keep the patient in control. Companies that respect consent and avoid covert model training are better positioned to meet both public expectations and legal requirements.

The takeaway is simple: AI can streamline health‑care workflows, but it must do so under careful human supervision. That practice aligns with responsible AI principles and builds the trust needed for broader adoption. — Edgar Melo Costa, founder

Founder’s notes are opinion. They are not investment, legal or professional advice.