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IAPP AIGP Exam Syllabus Topics:

Section	Objectives
Foundations of AI Systems and Governance	- Governance principles and accountability 1. Organizational governance roles 2. Responsible AI principles - AI system concepts, lifecycle, and terminology 1. AI definitions and taxonomy 2. AI system lifecycle overview
Regulatory and Legal Frameworks for AI	- Global AI governance regulations 1. NIST AI Risk Management Framework 2. EU AI Act principles
AI Risk Management and Impact Assessment	- Risk identification and mitigation 1. Bias, fairness, and transparency risks 2. AI risk categories and classification
AI Lifecycle Governance Implementation	- Operational governance controls 1. Model development oversight 2. Deployment and monitoring controls

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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q179-Q184):

NEW QUESTION # 179
What is the most significant risk of deploying an AI model that can create realistic images and videos?

A. Output cannot be protected.
B. Downstream harms.
C. Security breaches.
D. Copyright infringement.

Answer: B

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

NEW QUESTION # 180
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.
The data processed by the AI system would be classified as:

A. Organizational data, since it is part of the authentication process.
B. Non-personal data, as long as it is not linked to a user ID.
C. Non-sensitive personal data, since it does not reveal information about health, gender or race.
D. Special category data, if it can be used to uniquely identify a person.

Answer: D

Explanation:
Behavioral biometric data used to uniquely identify individuals is considered special category data due to its sensitivity and potential impact on privacy.

NEW QUESTION # 181
Scenario:
A company using AI for resume screening understands the risks of algorithmic bias and the evolving legal requirements across jurisdictions. It wants to implement the right governance controls to prevent reputational damage from misuse of the AI hiring tool.
Which of the following measures should the company adopt to best mitigate its risk of reputational harm from using the AI tool?

A. Ensure the vendor provides indemnification for the AI tool
B. Test the AI tool pre- and post-deployment
C. Require the procurement and deployment teams to agree upon the AI tool
D. Continue to require the company's hiring personnel to manually screen all applicants

Answer: B

Explanation:
The correct answer isA. Pre- and post-deployment testing ensuresbias, accuracy, and fairnessare evaluated and corrected as needed, which isessential for reputational risk mitigation.
From the AIGP Body of Knowledge:
"Testing AI systems before and after deployment is critical to ensure performance, fairness, and compliance.
Failing to do so may result in reputational damage and legal exposure." AI Governance in Practice Report2025(Bias/Fairness and Risk Sections):
"System impact assessments, testing, and post-deployment monitoring are necessary to identify and mitigate risks... This supports both compliance and public trust." Testing is proactive, unlike indemnification (which transfers risk after damage), or requiring manual review (which defeats automation).

NEW QUESTION # 182
Which of the following would be the least likely step for an organization to take when designing an integrated compliance strategy for responsible Al?

A. Conducting an assessment of existing compliance programs to determine overlaps and integration points.
B. Launching a survey to understand the concerns and interests of potentially impacted stakeholders.
C. Employing a new software platform to modernize existing compliance processes across the organization.
D. Consulting experts to consider the ethical principles underpinning the use of Al within the organization.

Answer: C

Explanation:
When designing an integrated compliance strategy for responsible AI, the least likely step would be employing a new software platform to modernize existing compliance processes. While modernizing compliance processes is beneficial, it is not as directly related to the strategic integration of ethical principles and stakeholder concerns. More critical steps include conducting assessments of existing compliance programs to identify overlaps and integration points, consulting experts on ethical principles, and launching surveys to understand stakeholder concerns. These steps ensure that the compliance strategy is comprehensive and aligned with responsible AI principles. Reference: AIGP Body of Knowledge on AI Governance and Compliance Integration.

NEW QUESTION # 183
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:

A. Whether the AI was trained on a representative dataset.
B. Whether patients will receive an economic benefit from the use of AI.
C. Whether physicians understand how the AI works.
D. Whether the AI will have an error rate comparable to human physicians.

Answer: A

Explanation:
Ensuring the AI is trained on representative data is crucial to avoid biased or inaccurate diagnostic proposals that could negatively impact patient care.

NEW QUESTION # 184
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