A healthcare AI system should not treat every input as equally reliable.
A practical design principle is:
Input → Assess familiarity → Estimate uncertainty → Proceed or escalate
High uncertainty should trigger appropriate safeguards, such as requesting additional information, limiting automated action, or requiring human review.
For agentic AI, this principle is especially important. An agent needs clear boundaries for when it can continue and when it should stop.
The goal is not maximum automation.
It is appropriate automation under uncertainty.
I am open to remote roles globally.
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