The Hidden Risk of Rushed Technology: Patrick Lo on Establishing AI Governance
Patrick Lo is calling attention to the risks that come when AI is deployed in healthcare before governance structures are in place to manage it. His argument centers on the idea that speed of adoption and accountability frameworks are not keeping pace with each other.
Why this matters: Healthcare AI moves fast because the business case is obvious and the pressure is real. The governance part moves slower, and that gap is where people get hurt. When an AI tool influences a diagnosis, a treatment plan, or an insurance decision, someone needs to be responsible for what it gets wrong. Right now, that accountability is often unclear. Patients rarely know AI was involved. Clinicians may not fully understand the tool they are using. Deploying first and governing later is not a neutral choice — it is a decision to let the risk land on patients.
Who should care: AI governance · Lawyers · Administrators · General readers · Policy
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