Governing Healthcare AI in the Real World: How Fairness, Transparency, and Human Oversight Can Coexist: A Narrative Review
Artificial intelligence (AI) is rapidly shifting from experimental pilots to mainstream clinical infrastructure, redefining how evidence, accountability, and ethics intersect in healthcare. This narrative review integrates insights from peer-reviewed studies and policy frameworks to examine seven cross-cutting aspects: bias and fairness, explainability, safety and quality, privacy and data protection, accountability and liability, human oversight, and procurement and deployment. Findings reveal
Record details
Published: 6 February 2026
Source: OpenAlex
Category: Research
Topics: Bias & fairness · Regulation · Privacy · Healthcare
Retrieved: 14 July 2026
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How to cite this record
ethics.ai (6 February 2026), “Governing Healthcare AI in the Real World: How Fairness, Transparency, and Human Oversight Can Coexist: A Narrative Review,” evidence record 9967, https://ethics.ai/record/9967 (originally published by OpenAlex).
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