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| Topic | Details |
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| Topic 1 | - 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.
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| Topic 2 | - 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.
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| Topic 3 | - 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.
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| 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 (Q211-Q216):
NEW QUESTION # 211
The best method to ensure a comprehensive identification of risks for a new AI model is:
- A. Integration testing.
- B. An impact assessment.
- C. An environmental scan.
- D. Red teaming.
Answer: B
Explanation:
An impact assessment is specifically designed to provide a comprehensive, structured evaluation of all relevant risks - technical, ethical, legal, operational, and societal - before deploying an AI system.
NEW QUESTION # 212
Which of the following situations would be least likely to raise concerns under existing consumer protection laws?
- A. An AI tool using scraped digital content to generate news summaries on a publishing website.
- B. An online platform offering recommendations to its users by displaying user specific content and targeted advertisements.
- C. An AI customer service system claiming that it is as accurate as a human support agent.
- D. An AI algorithm being used in a credit decision making process by a financial institution.
Answer: B
Explanation:
Online platforms displaying user-specific content and targeted ads are common and generally accepted practices, making them least likely to raise concerns under consumer protection laws compared to the other scenarios involving more direct consumer impact or claims.
NEW QUESTION # 213
CASE STUDY
A company is considering the procurement of an AI system designed to enhance the security of IT infrastructure. The AI system analyzes how users type on their laptops, including typing speed, rhythm and pressure, to create a unique user profile. This data is then used to authenticate users and ensure that only authorized personnel can access sensitive resources.
All of the following are obligations of the company as a data controller when implementing its AI system EXCEPT?
- A. Conducting a Data Protection Impact Assessment (DPIA) / Privacy Impact Assessment (PIA)
- B. Implementing technical and organizational measures
- C. Ensuring that third-party processors are based in the same country as the company
- D. Allowing data subject access requests (DSARs)
Answer: C
Explanation:
The correct answer isA. While location of processors may have implications (such as for data transfers under GDPR), thereis noabsoluterequirement thatthird-party processors be based in the same country.
From the AI Governance in Practice Report2025and ILT Guide:
"Data controllers are responsible for ensuring that third-party processors have adequate protections, but not necessarily that they reside in the same jurisdiction. What is required is legal safeguards (e.g., SCCs) for international transfers, not same-country location." In contrast, DPIAs, DSARs, and implementation of technical/organizational safeguardsare explicitlyrequired underGDPR and responsible AI frameworks.
NEW QUESTION # 214
Scenario:
An organization wants to leverage its existing compliance structures to identify AI-specific risks as part of an ongoing data governance audit.
Which of the following compliance-related controls within an organization is most easily adapted to identify AI risks?
- A. Privacy impact assessments
- B. Privacy training
- C. Transfer risk assessments
- D. Penetration testing
Answer: A
Explanation:
The correct answer is D - Privacy impact assessments (PIAs). These are directly adaptable for identifying risks in AI systems, particularly around data usage, bias, and individual impacts.
From the AIGP ILT Guide - Risk Management Module:
"PIAs and DPIAs are existing tools used in privacy compliance that can be extended to evaluate the risks of AI, including fairness, explainability, and legality." AI Governance in Practice Report 2024 further explains:
"Organizations can adapt privacy impact assessments to evaluate the ethical, legal, and technical risks posed by AI systems. They provide a structured and recognized method." PIAs are preferable over general security practices (like pen testing) which do not address algorithmic bias or legal compliance directly.
NEW QUESTION # 215
In 2025, which U.S. agency ordered companies to provide information about the safety of their AI companion chatbots?
- A. The Department of Justice DOJ
- B. The Federal Communications Commission FCC
- C. The Central Intelligence Agency CIA
- D. The Federal Trade Commission FTC
Answer: D
Explanation:
The correct answer is C, the Federal Trade Commission. The FTC plays a central role in U.S. AI governance by enforcing consumer protection and unfair or deceptive practices laws. In the context of AI systems such as companion chatbots, the FTC has authority to investigate risks related to user harm, transparency, safety, and misleading claims. AI governance frameworks emphasize regulatory oversight where AI systems may impact individuals psychologically, financially, or socially. Agencies like the FTC focus on ensuring that companies deploying AI systems do not cause harm through unsafe or deceptive practices and that they provide adequate disclosures about risks and system behavior. This aligns with broader AI governance principles of accountability, transparency, and risk management highlighted in the AI Governance in Practice Report 2024
, which stresses the importance of regulatory involvement in managing AI-related risks.
NEW QUESTION # 216
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