How Do AI Safety Events Get Reported?
from Health Data Ethics Hosted by Jennifer Owens
In healthcare, we have decades of safety event infrastructure built to help us collectively learn from failure. But when an AI tool makes an unsafe recommendation, degrades after a model update, or produces biased outputs, there's no systematic place for information to go, so that we, and others, can learn. That's the gap Joint Commission and Coalition for Health AI are starting to close with their Responsible Use of AI in Healthcare guidance. In this Health Data Ethics episode, I break down Element 5: voluntary, blinded reporting of AI safety events. What it means, how to use the structures you already have, and why the voluntary model supports more effective AI adoption in healthcare.
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