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IAPP AIGP Exam Syllabus Topics:

Topic
Details

Topic 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.

Topic 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.

Topic 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.

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.

IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q85-Q90):

NEW QUESTION # 85
MULTI-SELECT
Please select 3 of the 5 options below. No partial credit will be given.
What are the roles and responsibilities of deployers of a proprietary model?

A. Ethical testing.
B. Ethical design.
C. Technical performance.
D. Regulatory compliance.
E. System documentation.

Answer: A,C,D

Explanation:
Deployers of proprietary models arenot responsible for design, but they are accountable for how the system performsin their context of use, including ensuring ethical behavior, performance, and legal compliance.
From theAI Governance in Practice Report2025:
"Deployers of AI systems must take reasonable steps to ensure that systems are used ethically, perform safely, and align with applicable laws and standards." (p. 11-12)
"Operational governance... includes performance monitoring protocols, incident management plans, and regulatory oversight." (p. 12) Thus:
* #A. Ethical testing- Required to mitigate misuse and unintended harms.
* #B. Ethical design- Belongs todevelopers/providers, not deployers.
* #C. Technical performance- Deployers must ensure that AI performs as expected.
* #D. System documentation- This is theprovider'sobligation.
* #E. Regulatory compliance- Deployers must ensure system use complies with applicable laws.

NEW QUESTION # 86
In the context of increasing use of AI in business operations, your company seeks to update its data privacy policies. You are tasked with evaluating the current policies and proposing necessary updates to address AI-specific risks regarding protection of personal data. Which of the following would be the most effective addition to the company's data privacy policies?

A. Request final review of the policy by senior management.
B. Request regular audits of the AI Models.
C. Prohibit the use of AI tools within the company.
D. Require security training to employees before using AI systems.

Answer: B

Explanation:
Regular audits of AI models help ensure ongoing compliance with data privacy regulations and identify AI-specific risks related to personal data protection.

NEW QUESTION # 87
All of the following may be permissible uses of an Al system under the EU Al Act EXCEPT?

A. To manage border control.
B. To implement social scoring.
C. To detect an individual's intent for law enforcement purposes.
D. To promote equitable distribution of welfare benefits.

Answer: B

Explanation:
The EU AI Act explicitly prohibits the use of AI systems for social scoring by public authorities, as it can lead to discrimination and unfair treatment of individuals based on their social behavior or perceived trustworthiness. While AI can be used to promote equitable distribution of welfare benefits, manage border control, and even detect an individual's intent for law enforcement purposes (within strict regulatory and ethical boundaries), implementing social scoring systems is not permissible under the Act due to the significant risks to fundamental rights and freedoms.

NEW QUESTION # 88
Why is it important that conformity requirements are satisfied before an AI system is released into production?

A. To comply with legal and regulatory standards, ensuring the AI system is safe and trustworthy.
B. To guarantee interoperability of the AI system across multiple platforms and environments.
C. To ensure the AI system is easy for end-users to operate.
D. To ensure the visual design is fit-for-purpose.

Answer: A

Explanation:
Conformity assessmentsare a core requirement under theEU AI Actfor high-risk systems and serve to confirm that the AI meetsregulatory, safety, and ethical standardsbefore it is put into production.
From theAI Governance in Practice Report 2024:
"Conformity assessments... ensure that systems comply with legal requirements, safety criteria, and intended purpose before being placed on the market." (p. 34)
"They are a critical step to demonstrate safety and trustworthiness in AI deployment." (p. 35)

NEW QUESTION # 89
What is the most significant risk of deploying an AI model that can create realistic images and videos?

A. Security breaches.
B. Downstream harms.
C. Copyright infringement.
D. Output cannot be protected.

Answer: B

Explanation:
Realistic AI-generated images and videos can cause significant downstream harms such as misinformation, deepfakes, and reputational damage.

NEW QUESTION # 90
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