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IAPP AIGP Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Laws, Regulations, Standards and Frameworks24–28%- Sector-specific requirements and compliance obligations
- International standards (ISO 42001, NIST AI RMF, etc.)
- Alignment with data protection and privacy laws
- Global and regional regulations (EU AI Act, US, etc.)
Topic 2: Governance of AI Development21–25%- Requirements gathering, risk assessment and mitigation
- Model management, version control and quality assurance
- Governance through design and lifecycle management
- Testing, validation, documentation and transparency
Topic 3: Governance of AI Deployment and Use21–25%- Selection, procurement and third-party management
- Incident response, accountability and audit
- Implementation, monitoring and ongoing oversight
- Lifecycle maintenance, decommissioning and updates
Topic 4: Foundational Concepts of AI Governance24–28%- Impacts, risks and benefits of AI systems
- Fundamental AI definitions, types and characteristics
- Governance frameworks and core concepts
- Principles of responsible, ethical and trustworthy AI

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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q145-Q150):

NEW QUESTION # 145
A US hospital plans to develop an AI that will review available patient data in order to propose an initial diagnosis to licensed physicians. The hospital will implement a policy that requires physicians to consider the AI proposal, but conduct their own physical examinations prior to making a final diagnosis.
An important ethical concern with this plan is?

Answer: B

Explanation:
The core ethical concern when deploying diagnostic AI in a healthcare setting is ensuringfairness and accuracy across diverse patient populations. If the AI is trained on a dataset that isnot representativeof the population it will serve, it risks reinforcing health disparities and leading to misdiagnoses.
From theAI Governance in Practice Report2025:
"Training datasets lacking in diversity can produce outputs that systematically underperform for certain groups... this can lead to inaccurate or biased outcomes in healthcare settings." (p. 41)
"Bias, discrimination and fairness challenge... inadequate or nonrepresentative training data can result in AI systems that propagate historical disparities." (p. 42) While physician oversight may reduce risk,biased data can still shape clinical decision-making.
* A- Economic benefit is not central to ethical risk here.
* C- Important but less critical than data representativeness.
* D- Error rate matters but is addressed via validation; it's not the core ethical issue.


NEW QUESTION # 146
Scenario:
An organization is evaluating different AI models for integration into its internal workflows. Before moving forward with a particular AI solution from a third-party vendor, the governance team needs to assess the ethical and operational implications of the model.
The most important policy to assess the operations of an AI model is to follow the:

Answer: B

Explanation:
The correct answer isA. TheAcceptable Use Policy (AUP)sets the primary terms and conditions under which the AI model can be used, including limitations, prohibited uses, and operational constraints.
From the AIGP ILT Guide:
"The AUP is the most critical document to assess what you can and cannot do with the AI system. It governs use cases, outlines forbidden uses (e.g., disinformation), and supports responsible AI practices." Also confirmed in the AI Governance in Practice Report2025(Third-Party AI Assurance section):
"Reviewing and adhering to the acceptable use policy ensures that the model is being used in a manner that aligns with both provider expectations and ethical AI practices."


NEW QUESTION # 147
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.
When prioritizing the updates to its policies, rules and procedures to include the new AI system for user authentication, the organization should:

Answer: A

Explanation:
The correct answer is C. This action ties directly into principles of data minimization, purpose limitation, and lawfulness of processing, which are central to privacy and AI governance.
From the AIGP Body of Knowledge, Section on Privacy Considerations:
"Personal data must only be processed for specified and lawful purposes. Organizations must consider whether they have a legal basis for processing such data under data protection laws like the GDPR or CCPA." Additionally, AI Governance in Practice Report 2024 emphasizes:
"One of the most significant challenges when designing and developing AI systems is ensuring the data used is appropriate for the intended purpose... Managing unnecessary data, especially data that may contain sensitive attributes, can increase risk."


NEW QUESTION # 148
What is the most significant risk of deploying an AI model that can create realistic images and videos?

Answer: A

Explanation:
Realistic AI-generated images and videos can cause significant downstream harms such as misinformation, deepfakes, and reputational damage.


NEW QUESTION # 149
All of the following are potential benefits of using private over public LLMs EXCEPT:

Answer: B

Explanation:
Using a private LLM does not inherently reduce the possibility of hallucinations; hallucination is a core limitation of LLM architectures regardless of whether they are public or private.


NEW QUESTION # 150
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