Consequence
Who can be helped or harmed if the result is wrong?
Trust is an operating choice
Good intentions are not a control. Put ownership, evidence, review, override, monitoring, and recourse inside the workflow.
Use the review map
Higher consequence, lower reversibility, weaker evidence, and less recourse call for more active human control.
Who can be helped or harmed if the result is wrong?
Can the decision or action be safely undone?
Can a reviewer trace the claims to reliable sources?
Does the workflow recognize novelty and missing context?
Can an affected person question or correct the result?
Is one qualified human authorized to accept the outcome?
A continuous loop
NIST's AI Risk Management Framework organizes responsible AI work around these four connected functions. The work continues after launch.
Open the NIST AI RMF ↗Name purpose, policy, owners, prohibited uses, and recourse.
Understand people, data, context, dependencies, and likely effects.
Test quality, reliability, fairness, security, and human impact.
Control risk, respond to incidents, and revisit the design.
If the team cannot answer these questions in plain language, the workflow is not ready to scale.
Scope
This resource is educational guidance, not legal, employment, cybersecurity, privacy, safety, or regulatory advice. Requirements vary by use, industry, location, and affected population. Involve qualified reviewers for consequential decisions.