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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 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 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.
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 (Q118-Q123):

NEW QUESTION # 118
Scenario:
A mid-sized tech firm is building its AI governance program and is exploring ISO/IEC standards that could support consistency in terminology and risk assessment processes across teams.
ISO/IEC 22989 and ISO/IEC 42001 can be valuable resources for AI Governance professionals in all of the following ways EXCEPT:

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

Answer: C

Explanation:
The correct answer is C. ISO/IEC 22989 and 42001 focus on terminology, risk, and management systems, but do not specifically address procurement-related concerns with third-party vendors.
From the AIGP Body of Knowledge - Standards Section:
"ISO/IEC 22989 defines terminology and foundational concepts. ISO/IEC 42001 provides a management system standard for AI. They are not procurement-focused documents." Also confirmed in the AI Governance in Practice Report 2024:
"These standards help establish common language and risk governance procedures. Procurement governance typically falls under separate frameworks or sector-specific guidance." Thus, procurement governance (Option C) is not a central use case for these standards.

NEW QUESTION # 119
The White House Executive Order from November 2023 requires companies that develop dual- use foundation models to provide reports to the federal government about all of the following EXCEPT:

A. The results of red-team testing of each dual-use foundation model.
B. Any current training or development of dual-use foundation models.
C. Any environmental impact study for each dual-use foundation model.
D. The physical and cybersecurity protection measures of their dual-use foundation models.

Answer: C

Explanation:
Under the White House Executive Order on Artificial Intelligence (EO 14110), companies developing dual-use foundation models are required to report specific information to the federal government. These requirements include:
1. Ongoing or planned activities related to training, developing, or producing dual-use foundation models, including physical and cybersecurity protections taken to assure the integrity of the training process against sophisticated threats.
2. Ownership and possession of the model weights of any dual-use foundation models, and the physical and cybersecurity measures taken to protect those model weights.
3. The results of any developed dual-use foundation model's performance in relevant AI red-team testing, including a description of any associated measures the company has taken to meet safety objectives, such as mitigations to improve performance on these red-team tests and strengthen overall model security.
4. Other information pertaining to the safety and reliability of dual-use foundation models, or activities or risks that present concerns to U.S. national security.
Notably, the EO does not mandate companies to conduct or report on environmental impact studies for each dual-use foundation model. Therefore, option C is not a required reporting obligation under the Executive Order.

NEW QUESTION # 120
A shipping service based in the US is looking to expand its operations into the EU. It utilizes an in-house developed multimodal AI model that analyzes all personal data collected from shipping senders and recipients, and optimizes shipping routes and schedules based on this data. As they expand into the EU, all of the following descriptions should be included in the technical documentation for their AI model EXCEPT:

A. A general description of the AI system.
B. A description of the prioritization of the risks of deployment of the AI system.
C. A detailed description of the elements of the AI system and of the process for its development.
D. A description of the appropriateness of the performance metrics for the specific AI system.

Answer: B

Explanation:
While risk management is important, the EU AI Act requires documenting the AI system's description, performance metrics appropriateness, and detailed technical elements, but not specifically the prioritization of deployment risks in the technical documentation.

NEW QUESTION # 121
According to the Singapore Model AI Governance Framework, all of the following are recommended measures to promote the responsible use of AI EXCEPT:

A. Employing human-over-the-loop protocols for high-risk systems.
B. Determining the level of human involvement in algorithmic decision-making.
C. Establishing communications and collaboration among stakeholders.
D. Adapting the existing governance structure to algorithmic decision-making.

Answer: A

Explanation:
According to the Singapore Model AI Governance Framework, employing human-over-the-loop protocols is not a recommended measure to promote the responsible use of AI. Instead, the framework suggests determining the appropriate level of human involvement in AI-augmented decision-making based on a risk assessment. This approach allows organizations to decide whether a human should be in the loop, on the loop, or out of the loop, depending on factors such as the potential harm to individuals and the reversibility of decisions. The goal is to minimize risks while maintaining operational feasibility.

NEW QUESTION # 122
A UK company has designed a facial recognition model to support border control.
The EU AI Act would apply to the model in all of the following situations EXCEPT if?

A. The model was trained by an EU company.
B. The model is deployed at UK border checkpoints.
C. The model was released under an open source license.
D. The model is deployed at an EU border checkpoint.

Answer: B

Explanation:
TheEU AI Actapplies extraterritorially, meaning it affects entitiesoutside the EUwhen their AI systemsimpact individuals within the EU. However, it doesnotapply to systems that are developed, sold, or usedentirely outside of the EU-such as in theUK, unless they affect the EU market or individuals.
From theAI Governance in Practice Report2025:
"The act imposes regulatory obligations... depending on their capabilities, reach and computing power, certain GPAI systems are considered to present systemic risk and attract broadly similar obligations to those applicable to high-risk AI systems." (p. 7)
"The EU AI Act is the world's first comprehensive AI regulation... requirements apply to providers, deployers, importers, and distributors of AI systems when such systems are placed on the EU market." (p. 7-8) Thus:
* A. Open source releasedoes not exclude applicability if deployed in the EU.
* B. Deployment at an EU borderclearly invokes jurisdiction.
* D. Training by an EU companycreates jurisdictional links.
* C. Deployment only at UK checkpoints, withno EU use or impact, isoutside scope.

NEW QUESTION # 123
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