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IAPP AIGP Exam Syllabus Topics:

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

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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q40-Q45):

NEW QUESTION # 40
What is the 1956 Dartmouth summer research project on Al best known as?

Answer: D

Explanation:
The 1956 Dartmouth summer research project on AI is best known as a meeting focused on the founding of the AI field. This conference is historically significant because it marked the formal beginning of artificial intelligence as an academic discipline. The term "artificial intelligence" was coined during this event, and it laid the foundation for future research and development in AI.
Reference: The AIGP Body of Knowledge highlights the importance of the Dartmouth Conference as a pivotal moment in the history of AI, which established AI as a distinct field of study and research.


NEW QUESTION # 41
Which of the following is an example of a high-risk application under the EU Al Act?

Answer: B

Explanation:
The EU AI Act categorizes certain applications of AI as high-risk due to their potential impact on fundamental rights and safety. High-risk applications include those used in critical areas such as employment, education, and essential public services. A government-run social scoring tool, which assesses individuals based on their social behavior or perceived trustworthiness, falls under this category because of its profound implications for privacy, fairness, and individual rights. This contrasts with other AI applications like resume scanning tools or customer service chatbots, which are generally not classified as high-risk under the EU AI Act.


NEW QUESTION # 42
Scenario:
A U.S.-based AI governance professional is evaluating resources from the National Institute of Standards and Technology (NIST) to guide the organization's AI risk assessment strategy. They are particularly interested in programs focused on assessing AI-specific impacts.
The main purpose of NIST'sAssessing Risks and Impacts of AI (ARIA)program is to:

Answer: B

Explanation:
The correct answer isA. TheARIA programby NIST is explicitly designed tosupport stakeholders in understanding and managing the risks and impactsof AI systems.
From the AIGP ILT Guide - U.S. Risk Frameworks Module:
"NIST's ARIA program develops and pilots assessment tools for AI risks and impacts, aimed at improving organizational capacity for responsible AI use." Also cited in the AI Governance in Practice Report2025(Frameworks Section):
"ARIA supports and aligns with the AI Risk Management Framework by helping organizations assess AI harms, safety concerns, and societal implications." ARIA isnota red-teaming or sandbox program-it's anassessment and governance resource.


NEW QUESTION # 43
Scenario:
An enterprise is evaluating multiple third-party generative AI tools to integrate into its platform. As part of its AI governance policy, it is assessing the most effective methods to reduce risks related to bias, data misuse, and liability when using third-party solutions.
All of the following are commonly adopted processes and policies in reducing potential risks introduced by third-party AI tools or applications EXCEPT:

Answer: A

Explanation:
The correct answer is B. Allowing PII to be freely entered into prompts without safeguards is considered a major privacy and security risk and is not a responsible governance practice.
From the AIGP ILT Guide - Generative AI & Third-Party Risk Management:
"Use of personal or sensitive information in AI prompts can result in unintended exposure, regulatory breaches, and downstream liability." The AI Governance in Practice Report 2024 highlights:
"PII should be minimized or protected by design. Prompt engineering should prevent entry of personally identifiable data unless legally and technically safeguarded." A, C, and D are established best practices under responsible AI procurement and use.


NEW QUESTION # 44
A US company has developed an Al system, CrimeBuster 9619, that collects information about incarcerated individuals to help parole boards predict whether someone is likely to commit another crime if released from prison.
When considering expanding to the EU market, this type of technology would?

Answer: C

Explanation:
Under the EU AI Act, high-risk AI systems like CrimeBuster 9619 would require a detailed conformity assessment before being deployed in the EU market. This assessment ensures that the AI system complies with all relevant regulations and standards, addressing potential risks related to privacy, security, and discrimination. The company would not need to register the tool with the EU database (A), seek approval from an EU authority (B), or face a ban (D) as long as it meets the necessary conformity requirements.


NEW QUESTION # 45
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