IAPP AIGP Exam Syllabus Topics:

Topic	Details
Topic 1	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 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 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 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.

Reference: https://iapp.org/certify/aigp/

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IAPP Certified Artificial Intelligence Governance Professional Sample Questions:

Question #1

CASE STUDY
Please use the following answer the next question:
A mid-size US healthcare network has decided to develop an Al solution to detect a type of cancer that is most likely arise in adults. Specifically, the healthcare network intends to create a recognition algorithm that will perform an initial review of all imaging and then route records a radiologist for secondary review pursuant agreed-upon criteria (e.g., a confidence score below a threshold).
To date, the healthcare network has taken the following steps: defined its Al ethical principles: conducted discovery to identify the intended uses and success criteria for the system: established an Al governance committee; assembled a broad, crossfunctional team with clear roles and responsibilities; and created policies and procedures to document standards, workflows, timelines and risk thresholds during the project.
The healthcare network intends to retain a cloud provider to host the solution and a consulting firm to help develop the algorithm using the healthcare network's existing data and de-identified data that is licensed from a large US clinical research partner.
In the design phase, which of the following steps is most important in gathering the data from the clinical research partner?

A. Perform a privacy impact assessment.
B. Combine only anonymized data.
C. Segregate the data sets.
D. Review the terms of use.

Reveal Solution Discussion 0

Correct Answer: D 🗳️

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Question #2

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 ismost easily adaptedto identify AI risks?

A. Privacy impact assessments
B. Transfer risk assessments
C. Penetration testing
D. Privacy training

Reveal Solution Discussion 0

Correct Answer: A 🗳️

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Question #3

An organization that provides AI services to clients has decided to adopt ISO/IEC 42001:2023.
How does the standard define the relationship between the AI policy and the other policies already in place at the organization?

A. The AI policy should refer to other organizational policies.
B. The AI policy should absorb relevant components of other organizational policies.
C. The AI policy should address gaps identified from a management review of other organizational policies.
D. The AI policy should include AI-specific topics that do not intersect with other organizational policies.

Reveal Solution Discussion 0

Correct Answer: A 🗳️

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Question #4

CASE STUDY
Please use the following answer the next question:
A mid-size US healthcare network has decided to develop an Al solution to detect a type of cancer that is most likely arise in adults. Specifically, the healthcare network intends to create a recognition algorithm that will perform an initial review of all imaging and then route records a radiologist for secondary review pursuant agreed-upon criteria (e.g., a confidence score below a threshold).
To date, the healthcare network has taken the following steps: defined its Al ethical principles: conducted discovery to identify the intended uses and success criteria for the system: established an Al governance committee; assembled a broad, crossfunctional team with clear roles and responsibilities; and created policies and procedures to document standards, workflows, timelines and risk thresholds during the project.
The healthcare network intends to retain a cloud provider to host the solution and a consulting firm to help develop the algorithm using the healthcare network's existing data and de-identified data that is licensed from a large US clinical research partner.
Which stakeholder group is most important in selecting the specific type of algorithm?

A. The cloud provider.
B. The healthcare network'sdata science team.
C. The consulting firm.
D. The healthcare network's Al governance committee.

Reveal Solution Discussion 0

Correct Answer: B 🗳️

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Question #5

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