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IAPP AIGP Exam Syllabus Topics:

Section	Objectives
Foundations of AI Governance	- Impacts of AI 1. Benefits of AI 2. Risks of AI - AI Governance Fundamentals 1. Understanding the AI Development Life Cycle 2. Key AI Terminology and Concepts 3. Defining AI and its different approaches
AI Laws, Regulations, and Standards	- Regional and National Regulations 1. EU AI Act 2. US State and Federal Regulations 3. National AI Strategies - Global AI Frameworks 1. UNESCO AI Ethics 2. ISO/IEC Standards 3. OECD AI Principles
AI Governance Implementation	- Organizational Governance 1. Policies and Procedures 2. Governance Structures 3. Roles and Responsibilities (RACI) - Data Governance for AI 1. Data Quality and Integrity 2. Data Privacy and Protection
AI Risk Management	- Operationalizing Risk Management 1. Risk identification and assessment 2. Risk mitigation strategies - Risk Frameworks and Standards 1. ISO 31000 Risk Management 2. NIST AI Risk Management Framework (RMF)
AI Governance Management	- Life Cycle Management 1. Third-party management 2. Incident Management 3. Auditing and Monitoring - Emerging Issues 1. Future Trends 2. Ethical AI 3. Generative AI

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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q146-Q151):

NEW QUESTION # 146
What is the most important reason to document the results of AI testing?

A. To create a verifiable audit trail.
B. To support post-deployment maintenance.
C. To identify areas for red-teaming focus.
D. To limit the need for future testing cycles.

Answer: A

Explanation:
Documenting AI testing results creates a verifiable audit trail, which is essential for accountability, regulatory compliance, and demonstrating that risks were properly assessed and mitigated.

NEW QUESTION # 147
Your management consulting firm is planning to use an AI system to support its employees.
Which category of operator applies to the firm in this context?

A. Provider.
B. Authorized representative.
C. Distributor.
D. Deployer.

Answer: D

Explanation:
The firm, by using the AI system to support its employees, acts as the deployer responsible for the operation and oversight of the AI system in its environment.

NEW QUESTION # 148
What is the most important reason to document the results of AI testing?

A. To create a verifiable audit trail.
B. To support post-deployment maintenance.
C. To identify areas for red-teaming focus.
D. To limit the need for future testing cycles.

Answer: A

Explanation:
Testing results need to bedocumented thoroughlyto ensuretraceability, accountability, and compliance. This is central to enabling audits, investigations, or regulatory inquiries into the system's development and performance.
From theAI Governance in Practice Report2025:
"Documentation and recordkeeping are essential components... to demonstrate AI system compliance, trace system behavior, and support audits and conformity assessments." (p. 34-35)
"Maintaining audit trails across development and deployment enables transparency and accountability." (p.
12)
* AandBare benefits, but not theprimary governance justification.
* D- Limiting future testing is not a recommended goal.

NEW QUESTION # 149
ISO/IEC 22989 and 42001 can be valuable resources for AI Governance professionals in all of the following ways EXCEPT:

A. Addressing specific issues related to managing procurement processes with third parties that provide or develop AI systems for their organization.
B. Recommending key activities to assess and manage risk: test, evaluate, verify and validate (TEVV).
C. Establishing terminology and describing concepts so that governance team members can communicate with diverse parties and stakeholders from around the world.
D. Being applicable to organizations of any size and industry seeking to use AI responsibly and effectively in their design processes, information systems and controls.

Answer: A

Explanation:
ISO/IEC 22989 and 42001 provide foundational concepts, terminology, and governance guidance for AI systems, but they do not address the detailed, specific processes required for managing procurement with third-party AI providers.

NEW QUESTION # 150
MULTI-SELECT
Please select 3 of the 5 options below. No partial credit will be given.
From a governance perspective, which of the following correctly describe the responsibilities of AI developers or deployers?

A. AI developers must provide clear documentation explaining how the system functions for its operators.
B. AI deployers must handle ongoing monitoring and auditing of the AI system.
C. AI deployers must conduct independent bias assessments prior to release of a system.
D. AI developers remain fully liable for the AI system's compliance with regulations even after deployment by others.
E. AI developers are responsible for reducing biases in the system, such as discrimination against certain demographics.

Answer: A,B,E

Explanation:
The correct answers are A, C, and E because they reflect the shared but distinct responsibilities between AI developers and deployers in governance frameworks. Developers are responsible for designing systems that minimize bias and ensuring fairness during development. They are also required to provide clear documentation, including instructions for use, system capabilities, and limitations, to support transparency and proper operation. Deployers, on the other hand, are responsible for overseeing the system once it is in use, including continuous monitoring, auditing, and ensuring it performs as intended in real-world conditions. Option B is incorrect because liability is typically shared and depends on roles and context, not solely on developers. Option D is incorrect because independent bias assessments are not always strictly required of deployers before release.

NEW QUESTION # 151
......

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