Guardrails

The concrete limits built around an AI system to stop it doing things it should not. Guardrails can block certain outputs, refuse certain requests, keep the system from acting outside an approved scope, or force a human check before anything consequential happens. When someone asks "does it have guardrails?" they are really asking what the system is technically prevented from doing, not whether it has been told to behave. For clinicians and the leaders accountable for a tool, this is the difference between a promise and an actual constraint: ask where the guardrail lives and what it blocks, because a guardrail that is only a line in a policy is not a guardrail.

Terms like this come up in real clinical scenarios across the HelloAI courses: bite-sized modules with verifiable certificates. An account takes one minute, no password needed.