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All glossary terms

AI governance

Trustworthy AI

Trustworthy AI describes artificial intelligence designed and operated in ways that people can reasonably rely on for a stated purpose. The term commonly brings together reliability, accountability, transparency, and attention to affected people, but it is not one measurable property shared by every system.

Also known as trustworthy artificial intelligence.

Why it matters in practice

Trust depends on evidence, communication, system limits, and the choices made around deployment. Teams should explain which qualities they evaluate and for whom a system is intended. A claim that AI is trustworthy should not be inferred from a framework name, vendor statement, or one successful test.

Example

A team publishes a model’s intended use and known limitations, then gives operators a way to report outputs that do not fit the task.

Educational note

This definition is general information, not legal advice. It may omit facts that matter to a specific situation and does not establish or guarantee compliance.