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Test AIGP Dates - New AIGP Test Labs

Test AIGP Dates - New AIGP Test Labs

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IAPP AIGP Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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.
Topic 3
  • 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.
Topic 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.

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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q137-Q142):

NEW QUESTION # 137
Which of the following elements of feature engineering is most important to mitigate the potential bias in an AI system?

Answer: D

Explanation:
Feature selection is crucial to mitigate bias by carefully choosing attributes that do not introduce unfair or discriminatory information into the AI model.


NEW QUESTION # 138
Which risk management framework/guide/standard focuses on value-based engineering methodology?

Answer: B

Explanation:
IEEE 7000-2021 focuses on value-based engineering by integrating ethical concerns into system design processes.


NEW QUESTION # 139
An organization will be introducing a new internal application that will use AI to make automated decisions about individuals whose personal information will be processed. Which of the following documents must be updated to ensure transparency?

Answer: A

Explanation:
When introducing an AI system that makes automated decisions about individuals, the organization must update the user privacy notice to ensure transparency about how personal data is being used, including the role of AI in decision-making.


NEW QUESTION # 140
Scenario:
A mid-sized tech firm is building its AI governance program and is exploring ISO/IEC standards that could support consistency in terminology and risk assessment processes across teams.
ISO/IEC 22989andISO/IEC 42001can be valuable resources for AI Governance professionals inall of the following ways EXCEPT:

Answer: C

Explanation:
The correct answer isC. ISO/IEC 22989 and 42001 focus onterminology, risk, and management systems, butdo not specifically address procurement-related concerns with third-party vendors.
From the AIGP Body of Knowledge - Standards Section:
"ISO/IEC 22989 defines terminology and foundational concepts. ISO/IEC 42001 provides a management system standard for AI. They are not procurement-focused documents." Also confirmed in the AI Governance in Practice Report2025:
"These standards help establish common language and risk governance procedures. Procurement governance typically falls under separate frameworks or sector-specific guidance." Thus,procurement governance (Option C)is not a central use case for these standards.


NEW QUESTION # 141
Which of the following is an example of a high-risk application under the EU AI Act?

Answer: B


NEW QUESTION # 142
......

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