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IAPP AIGP Exam Syllabus Topics:

Topic	Details
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.
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.
Topic 3	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.
Topic 4	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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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q88-Q93):

NEW QUESTION # 88
Which of the following AI uses is best described as human-centric?

A. Machine learning is used for demand forecasting and inventory management, ensuring that consumers can find products they want when they want them.
B. Virtual assistants are used to adapt educational content and teaching methods to individuals, offering personalized recommendations based on ability and needs.
C. Pattern recognition algorithms are used to improve the accuracy of weather predictions, which benefits many industries and everyday life.
D. Autonomous robots are used to move products within a warehouse, allowing human workers to reduce physical strain and alleviate monotony.

Answer: B

Explanation:
Virtual assistants that personalize education based on individual abilities and needs focus directly on enhancing human learning experiences, making this use human-centric.

NEW QUESTION # 89
All of the following may be permissible uses of an AI system under the EU AI Act EXCEPT:

A. To manage border control.
B. To detect an individual's intent for law enforcement purposes.
C. To promote equitable distribution of welfare benefits.
D. To implement social scoring.

Answer: D

Explanation:
The EU AI Act explicitly prohibits AI systems used for social scoring due to the significant risks to fundamental rights.

NEW QUESTION # 90
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 description of the appropriateness of the performance metrics for the specific AI system.
B. A description of the prioritization of the risks of deployment of the AI system.
C. A general description of the AI system.
D. A detailed description of the elements of the AI system and of the process for its development.

Answer: B

Explanation:
The EU AI Act outlines what must be included intechnical documentationfor high-risk systems. These requirements are designed to supportconformity assessment, transparency, and traceability.
From theAI Governance in Practice Report2025:
"It mandates drawing up technical documentation... must include a general description of the AI system, the intended purpose, and a detailed description of the elements and development process." (p. 34)
"Documentation... includes training, testing, evaluation procedures, andappropriateness of performance metrics." (p. 34-35) Therisk management systemis addressed separately through arisk management plan, not within the technical documentation itself.
Thus:
* A, C, and Dare explicitly required in thetechnical documentation.
* B, while important, is part of therisk management process, not a required section oftechnical documentation.

NEW QUESTION # 91
According to the GDPR, an individual has the right to have a human confirm or replace an automated decision unless that automated decision:

A. Is deemed to solely benefit the individual and includes documented legitimate interests.
B. Is authorized by applicable EU law and includes suitable safeguards.
C. Is authorized with the data subject's explicit consent.
D. Is necessary for entering into or performing under a contact between the data subject and data controller.

Answer: B

Explanation:
GDPR permits automated decisions without human intervention if authorized by EU law and accompanied by appropriate safeguards protecting the individual's rights.

NEW QUESTION # 92
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 is deployed at UK border checkpoints.
B. The model was released under an open source license.
C. The model was trained by an EU company.
D. The model is deployed at an EU border checkpoint.

Answer: A

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 # 93
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