platform-guideline checked
AI Risk Management Framework
Framework for managing AI risk and trustworthiness, including measurement, monitoring, reliability, validity, transparency, accountability, and risk treatment.
Pattern Decisions This Source Supports
| Pattern | Supported decision | Required contract | Claim note |
|---|---|---|---|
| Confidence / uncertainty display | Choose confidence / uncertainty display when users need to judge prediction reliability before acting on AI or automation output. | The display names the task, prediction, source of the confidence estimate, calibration scope, and last calibration or update time when available. | Supports measured AI reliability, validity, risk management, monitoring, transparency, and accountability. |
| Dangerous-action review | Choose dangerous-action review when the user is about to execute a high-impact action and needs to inspect the exact payload, risk, evidence, and side effects before it leaves the safe preview state. | The review is bound to a specific action ID, payload version, target, actor, permission scope, source context, evidence set, and policy trigger. | Supports risk identification, measurement, management, monitoring, accountability, transparency, reliability, and risk treatment for AI-supported decisions. |
Evidence Role
This source is treated as platform-guideline evidence. Use it to validate the decision rules above, not as a visual style reference.
Publisher: NIST. Last checked: .