IAPP AIGP 考試概覽:

認證廠商:	IAPP (International Association of Privacy Professionals)
考試名稱:	IAPP Certified Artificial Intelligence Governance Professional (AIGP) 考試
考試代碼:	AIGP
及格分數:	300（滿分 100–500 的換算分數）
支援語言:	英文
證照有效期限:	2 年
相關認證:	CIPM CIPT CIPP/US CIPP/E
考試時間:	165 分鐘
考試費用:	USD 799（非會員）/ USD 649（IAPP 會員）
考試形式:	單選題, 情景式題目, 複選題, 選擇題
實際考試題數:	100（85 題計分 + 約 15 題未計分試題）
推薦課程:	IAPP 官方 AIGP 培訓和資源 AIGP 模擬考試（官方 IAPP 商店）
考試報名:	Pearson VUE 排程入口（通過 IAPP 帳戶）官方 IAPP AIGP 考試報名
範例考題:	IAPP AIGP 範例考題
考試方式:	通過 Pearson VUE 提供的電腦測驗（測試中心或在線監考 OnVUE）
必備條件:	無
官方大綱網址:	https://iapp.org/certify/aigp

IAPP AIGP 考試大綱：

主題	簡介
主題 1	Understanding How to Govern AI Deployment and Use: This section of the exam measures skills of technology deployment leads and covers the responsibilities associated with selecting, deploying, and using AI models in a responsible manner. It includes evaluating key factors and risks before deployment, understanding different model types and deployment options, and ensuring ongoing monitoring and maintenance. The domain applies to both proprietary and third-party AI models, emphasizing the importance of transparency, ethical considerations, and continuous oversight throughout the model’s operational life.
主題 2	Understanding How Laws, Standards, and Frameworks Apply to AI: This section of the exam measures skills of compliance officers and covers the application of existing and emerging legal requirements to AI systems. It explores how data privacy laws, intellectual property, non-discrimination, consumer protection, and product liability laws impact AI. The domain also examines the main elements of the EU AI Act, such as risk classification and requirements for different AI risk levels, as well as enforcement mechanisms. Furthermore, it addresses the key industry standards and frameworks, including OECD principles, NIST AI Risk Management Framework, and ISO AI standards, guiding organizations in trustworthy and compliant AI implementation.
主題 3	Understanding the Foundations of AI Governance: This section of the exam measures skills of AI governance professionals and covers the core concepts of AI governance, including what AI is, why governance is needed, and the risks and unique characteristics associated with AI. It also addresses the establishment and communication of organizational expectations for AI governance, such as defining roles, fostering cross-functional collaboration, and delivering training on AI strategies. Additionally, it focuses on developing policies and procedures that ensure oversight and accountability throughout the AI lifecycle, including managing third-party risks and updating privacy and security practices.
主題 4	Understanding How to Govern AI Development: This section of the exam measures the skills of AI project managers and covers the governance responsibilities involved in designing, building, training, testing, and maintaining AI models. It emphasizes defining the business context, performing impact assessments, applying relevant laws and best practices, and managing risks during model development. The domain also includes establishing data governance for training and testing, ensuring data quality and provenance, and documenting processes for compliance. Additionally, it focuses on preparing models for release, continuous monitoring, maintenance, incident management, and transparent disclosures to stakeholders.