1
Real user needs principle
Product decisions should be anchored in real user needs rather than internal assumptions or polished generated concepts.
reviewed
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.
路径卡片
2
AI risk map before build
Before building an AI feature, map the user context, affected parties, trustworthiness needs, and potential harms.
3
Correction affordance for AI output
AI output should be easy to edit, refine, undo, or recover from when it is wrong.
4
Adaptive AI feedback loop
A human-centered AI product should collect useful feedback during interaction and use it to improve future behavior.
5
Production readiness guardrail
An AI prototype should not move to production until security, privacy, testing, misuse, and operational limits are explicitly reviewed.
6
Live continuous improvement
A live product still needs research, testing, accessibility checks, quality assurance, and performance metrics.