platform-guideline 2 linked patterns checked
AI Risk Management Framework
Framework for managing AI risk and trustworthiness, including measurement, monitoring, reliability, validity, transparency, accountability, and risk treatment.
Read with a purpose
What this source can teach
Use this source to understand a platform convention and the setting it was designed for.
- Start with the original. Open the source and find the guidance or example relevant to your task.
- Trace the connection. Use the claim notes below to see how this site applies the source to specific patterns.
- Check the setting. Compare the source's platform, people, and constraints with your own decision.
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. |
Comparisons supported by this source
- Confidence / uncertainty display vs source grounding display vs citation display vs meter vs warning text
Supports measured AI trustworthiness, risk treatment, monitoring, validity, and reliability.
- Dangerous-action review vs destructive action confirmation vs typed confirmation vs human approval gate vs review before submit vs security warning
Supports identifying, measuring, managing, monitoring, documenting, and treating AI and automation risk.
Evidence Role
This source is treated as platform-guideline evidence. Its value comes from the specific claims and setting described above.
Publisher: NIST. Last checked: .