AI engineering glossary · AI ethics law product
What is trust calibration?
Trust calibration (also called appropriate reliance): The match between how much users trust an AI system and how reliable it actually is, so that they rely on it when it is right and doubt it when it is likely wrong. Interfaces aim for calibrated trust rather than maximum trust.
Trust calibration: an example
An assistant marks low-confidence answers in amber and links sources, so users double-check exactly those answers.
Related terms
- Overreliance on AI
- Automation bias
- Confidence indicator
- Algorithm aversion
More AI ethics law product terms
- Verifiable parental consent
- Watermarking AI outputs
- Accountability (AI)
- Activation rate
- AI audit
- AI governance
- AI incident
- AI Incident Database
Where you learn it
Trust calibration is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.