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IAPP AIGP Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Foundational Concepts of AI Governance	24–28%	- 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
Topic 2: Governance of AI Development	21–25%	- Requirements gathering, risk assessment and mitigation - Model management, version control and quality assurance - Testing, validation, documentation and transparency - Governance through design and lifecycle management
Topic 3: Laws, Regulations, Standards and Frameworks	24–28%	- Sector-specific requirements and compliance obligations - Alignment with data protection and privacy laws - International standards (ISO 42001, NIST AI RMF, etc.) - Global and regional regulations (EU AI Act, US, etc.)
Topic 4: Governance of AI Deployment and Use	21–25%	- Implementation, monitoring and ongoing oversight - Incident response, accountability and audit - Lifecycle maintenance, decommissioning and updates - Selection, procurement and third-party management

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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q130-Q135):

NEW QUESTION # 130
When should an ethical impact assessment for AI be performed?

A. At the initial stages of AI system development and continually throughout its lifecycle.
B. When the system is ready for production and deployment.
C. After the AI system has encountered ethical issues in real-world applications.
D. Then the number of AI system users has reached a predefined threshold.

Answer: A

Explanation:
Ethical impact assessments should begin at the initial development stages and continue throughout the AI system's lifecycle to proactively identify and address ethical risks.

NEW QUESTION # 131
Which of the following deployments of generative Al best respects intellectual property rights?

A. The system categorizes and applies filters to content based on licensing terms.
B. The system produces content that is modified to closely resemble copyrightedwork.
C. The system provides attribution to creators of publicly available information.
D. The system produces content that includes trademarks and copyrights.

Answer: A

Explanation:
Respecting intellectual property rights means adhering to licensing terms and ensuring that generated content complies with these terms. A system that categorizes and applies filters based on licensing terms ensures that content is used legally and ethically, respecting the rights of content creators. While providing attribution is important, categorization and application of filters based on licensing terms are more directly tied to compliance with intellectual property laws. This principle is elaborated in the IAPP AIGP Body of Knowledge sections on intellectual property and compliance.

NEW QUESTION # 132
What is most likely the first action that a developer takes to map, plan and scope an AI project?

A. Define the business case and perform a cost benefit analysis answering the question of why AI
B. Determine feasibility and optionality of redress
C. Perform an algorithmic impact assessment leveraging PIAs
D. Use a test, evaluation, verification, validation TEVV process

Answer: A

Explanation:
The correct answer is A because the first step in any AI project lifecycle is to clearly define the business objective and justify the use of AI. AI governance frameworks emphasize that planning begins with understanding the purpose, value, and necessity of the system before moving into design or risk assessment stages. Establishing a business case ensures alignment with organizational goals, identifies expected benefits, and evaluates whether AI is the appropriate solution. This step corresponds to the planning phase of the AI lifecycle, where objectives and intended outcomes are documented. In contrast, TEVV processes occur during development and testing, while impact assessments and redress considerations arise later as part of risk management and governance. Starting with a clear "why AI" foundation ensures responsible, efficient, and goal-oriented system development.

NEW QUESTION # 133
A company subject to GDPR is building its governance framework for how it will collect data to be used for training of AI models. The most important thing the company can do to ensure GDPR compliance is:

A. Source training data from a reputable company to train its models.
B. Include the requirement to fully anonymize data used to train its models.
C. Establish a data retention schedule for data used to train its models.
D. Minimize the amount of data used to train its models.

Answer: D

Explanation:
Minimizing the amount of personal data used in training supports GDPR's data minimization principle, reducing privacy risks and improving compliance.

NEW QUESTION # 134
CASE STUDY
Please use the following to answer the next question:
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:

A. Reduce the complexity of the policy to make it easier for non-technical employees to understand.
B. Update security controls for sensitive data.
C. Update third-party data sharing policies.
D. Ensure that any personal data used is only processed for a specific and lawful purpose.

Answer: D

Explanation:
Since the AI system processes personal behavioral data (typing patterns) for authentication, the organization must ensure that this personal data is processed only for specific and lawful purposes, aligning with data protection principles.

NEW QUESTION # 135
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