[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-ai-governance":3},{"tag":4,"articles":11},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":10},"29cd5d99-9ed3-4e27-bc82-5f491e7f34bd","AI governance","ai-governance",6,"AI 治理關注的是模型、產品與組織如何被監督：從董事會權責、非營利架構、資金流向，到提示工程的倫理與責任分工。對開發者而言，它決定 AI 系統如何被部署、審核與問責。","AI governance covers how models, products, and organizations are overseen: board control, nonprofit structures, funding flows, and the ethics around prompt engineering. For developers, it shapes how AI systems are deployed, reviewed, and held accountable.",[]]