Building trust in AI health intelligence: why privacy, transparency, and human oversight matter

Artificial intelligence is becoming an increasingly visible part of healthcare. From administrative workflows and clinical decision support to remote monitoring and wellness technologies, organizations are exploring how AI can help process information more efficiently and provide greater visibility into health-related data. Yet as adoption accelerates, one challenge continues to influence whether these technologies gain meaningful acceptance.

Trust has become a central issue in the broader conversation around artificial intelligence. The World Economic Forum’s Global Risks Report 2026 ranked misinformation and disinformation as the second most severe short-term global risk, while concerns about the adverse outcomes of AI technologies rose significantly in the report’s long-term outlook. As organizations introduce AI into increasingly sensitive areas, including healthcare, the findings underscore the importance of transparency, governance, and accountability in building public confidence.

Doug Benoit, CEO of FacialDx, believes trust begins with clarity. FacialDx is an AI-powered wellness intelligence company that...

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