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IAPP AIGP Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Foundational Concepts of AI Governance	24–28%	- Principles of responsible, ethical and trustworthy AI - Fundamental AI definitions, types and characteristics - Impacts, risks and benefits of AI systems - Governance frameworks and core concepts
Topic 2: Governance of AI Development	21–25%	- Testing, validation, documentation and transparency - Governance through design and lifecycle management - Model management, version control and quality assurance - Requirements gathering, risk assessment and mitigation
Topic 3: Governance of AI Deployment and Use	21–25%	- Implementation, monitoring and ongoing oversight - Lifecycle maintenance, decommissioning and updates - Incident response, accountability and audit - Selection, procurement and third-party management
Topic 4: Laws, Regulations, Standards and Frameworks	24–28%	- International standards (ISO 42001, NIST AI RMF, etc.) - Sector-specific requirements and compliance obligations - Alignment with data protection and privacy laws - Global and regional regulations (EU AI Act, US, etc.)

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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q129-Q134):

NEW QUESTION # 129
Which type of existing assessment could best be leveraged to create an Al impact assessment?

A. A privacy impact assessment.
B. A safety impact assessment.
C. An environmental impact assessment.
D. A security impact assessment.

Answer: A

Explanation:
A privacy impact assessment (PIA) can be effectively leveraged to create an AI impact assessment. A PIA evaluates the potential privacy risks associated with the use of personal data and helps in implementing measures to mitigate those risks. Since AI systems often involve processing large amounts of personal data, the principles and methodologies of a PIA are highly applicable and can be extended to assess broader impacts, including ethical, social, and legal implications of AI. Reference: AIGP Body of Knowledge on Impact Assessments.

NEW QUESTION # 130
A company that deploys AI but is not currently a provider or developer intends to develop and market its own AI system.
Which obligation would then be likely to apply?

A. Developing documentation on the system, the potential risks and the safeguards applied.
B. Implementing a risk management framework.
C. Developing a reporting plan for any observed algorithmic discrimination or harms to individuals' rights and freedoms.
D. Conducting an impact assessment including a post-deployment monitoring plan.

Answer: A

Explanation:
Once a company moves from being adeployerto also acting as aprovider or developer, it assumesnew obligationsunder regulations like the EU AI Act. One of the core requirements for providers is to produce and maintaintechnical documentation, including descriptions of the model, associated risks, and mitigation strategies.
From theAI Governance in Practice Report2025:
"Providers of high-risk AI systems must draw up technical documentation demonstrating the system's conformity with the requirements... including potential risks and safeguards applied." (p. 34)
"This documentation must be available before placing the system on the market." (p. 35)

NEW QUESTION # 131
Which of the following would be the least likely step for an organization to take when designing an integrated compliance strategy for responsible AI?

A. Launching a survey to understand the concerns and interests of potentially impacted stakeholders.
B. Conducting an assessment of existing compliance programs to determine overlaps and integration points.
C. Consulting experts to consider the ethical principles underpinning the use of AI within the organization.
D. Employing a new software platform to modernize existing compliance processes across the organization.

Answer: D

Explanation:
Employing a new software platform is a technology solution rather than a foundational compliance strategy step; organizations typically first assess existing programs, ethics, and stakeholder concerns before selecting tools.

NEW QUESTION # 132
After initially deploying a third-party AI model, you learn the developer has released a new version. As deployer of this third-party model, what should you do?

A. Communicate necessary updates to your users.
B. Retrain the model.
C. Seek input from data scientists.
D. Audit the model.

Answer: D

Explanation:
When a third-party developer releases a new model version, the deployer must first audit the updated model to determine whether the changes introduce new risks, alter performance, or affect compliance obligations before considering deployment or communicating updates.

NEW QUESTION # 133
A deployer discovers that a high-risk AI recruiting system has been making widespread errors, resulting in harms to the rights of a considerable number of EU residents who are denied consideration for jobs for improper reasons such as ethnicity, gender and age.
According to the EU AI Act, what should the company do first?

A. Submit an incomplete report to the relevant market authority immediately and follow up with a complete report as soon as possible.
B. Notify the provider, the distributor, and finally the relevant market authority of the serious incident.
C. Identify any decisions that may have been improperly made and re-open them for human review.
D. Conduct a thorough investigation of the serious incident within the 15 day timeline and present the completed report to the relevant market authority.

Answer: B

Explanation:
Under theEU AI Act, serious incidents involvinghigh-risk AI systemsmust be reported. The deployer is required topromptly inform the provider and relevant authoritiesabout the issue.
From theAI Governance in Practice Report 2024:
"Serious incidents involving high-risk systems... must be reported to the provider and relevant market surveillance authority." (p. 35)
"Timely reporting is required when AI systems result in or may result in violations of fundamental rights." (p.
35)

NEW QUESTION # 134
......

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