Trustworthy AI
An umbrella for the properties an AI system needs to be relied on: valid, safe, secure, accountable, explainable, fair, privacy-enhanced.
Trustworthy AI is the framing NIST uses in the AI Risk Management Framework, listing characteristics a system should demonstrate rather than a single score to hit. The characteristics trade off against each other, so the work is balancing them in context. It is deliberately sector-agnostic.
In practice: A system can be accurate and still untrustworthy if nobody can explain or contest it.