tool
AI risk map before build
Before building an AI feature, map the user context, affected parties, trustworthiness needs, and potential harms.
正文
An AI risk map asks what the system will do, who it affects, what decisions or content it influences, and what trustworthy behavior would require. This does not need to be a heavyweight compliance exercise for a small prototype; it can be a short pre-build checklist.
The practical value is timing. Risks found before implementation can change the idea, constrain the scope, or define required review points before the team becomes attached to a working demo.
来源引用
AI Risk Management Framework
Source: AI Risk Management Framework
NIST describes AI RMF as a voluntary framework for incorporating trustworthiness into design, development, use, and evaluation.
相关卡片
Reversible product bet
A reversible product bet is small enough to test without trapping the builder in a large commitment.
Problem before solution
A discovery process should turn a proposed solution back into the underlying problem before committing to build.
Production readiness guardrail
An AI prototype should not move to production until security, privacy, testing, misuse, and operational limits are explicitly reviewed.
所在阅读路径
Human-centered AI feedback loop
A route for keeping AI tools useful after first generation: map risks, support correction, capture feedback, and review production readiness.