Why AI governance in health care falls on clinicians in 2026
A 2026 analysis argues that responsibility for governing AI in healthcare settings is landing on clinicians rather than on institutions, regulators, or technology companies.
Why this matters: Doctors and nurses are not AI auditors. They were not trained to evaluate model outputs, catch bias in diagnostic tools, or push back on software their hospital bought. When governance gets pushed to the bedside, accountability gets pushed there too. If something goes wrong, the clinician is the last line of defense and often the first to blame. That is a problem institutions should own, not offload to the people with the least power to change the tools they are handed.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy
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