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IAPP AIGP Exam Syllabus Topics:

SectionObjectives
Topic 1: Regulatory and Legal Frameworks for AI- Global AI governance regulations
  • 1. EU AI Act principles
    • 2. NIST AI Risk Management Framework
      Topic 2: AI Risk Management and Impact Assessment- Risk identification and mitigation
      • 1. Bias, fairness, and transparency risks
        • 2. AI risk categories and classification
          Topic 3: Foundations of AI Systems and Governance- Governance principles and accountability
          • 1. Responsible AI principles
            • 2. Organizational governance roles
              - AI system concepts, lifecycle, and terminology
              • 1. AI definitions and taxonomy
                • 2. AI system lifecycle overview
                  Topic 4: 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 (Q52-Q57):

                      NEW QUESTION # 52
                      According to the GDPR, what is an effective control to prevent a determination based solely on automated decision-making?

                      Answer: C

                      Explanation:
                      GDPR requires effective controls like human-in-the-loop procedures to prevent decisions based solely on automated processing without human intervention.


                      NEW QUESTION # 53
                      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 is most easily adapted to identify AI risks?

                      Answer: A

                      Explanation:
                      The correct answer is D - Privacy impact assessments (PIAs). These are directly adaptable for identifying risks in AI systems, particularly around data usage, bias, and individual impacts.
                      From the AIGP ILT Guide - Risk Management Module:
                      "PIAs and DPIAs are existing tools used in privacy compliance that can be extended to evaluate the risks of AI, including fairness, explainability, and legality." AI Governance in Practice Report 2024 further explains:
                      "Organizations can adapt privacy impact assessments to evaluate the ethical, legal, and technical risks posed by AI systems. They provide a structured and recognized method." PIAs are preferable over general security practices (like pen testing) which do not address algorithmic bias or legal compliance directly.


                      NEW QUESTION # 54
                      What is the most significant risk of deploying an AI model that can create realistic images and videos?

                      Answer: B

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


                      NEW QUESTION # 55
                      The White House Executive Order from November 2023 requires companies that develop dual- use foundation models to provide reports to the federal government about all of the following EXCEPT:

                      Answer: D

                      Explanation:
                      Under the White House Executive Order on Artificial Intelligence (EO 14110), companies developing dual-use foundation models are required to report specific information to the federal government. These requirements include:
                      1. Ongoing or planned activities related to training, developing, or producing dual-use foundation models, including physical and cybersecurity protections taken to assure the integrity of the training process against sophisticated threats.
                      2. Ownership and possession of the model weights of any dual-use foundation models, and the physical and cybersecurity measures taken to protect those model weights.
                      3. The results of any developed dual-use foundation model's performance in relevant AI red-team testing, including a description of any associated measures the company has taken to meet safety objectives, such as mitigations to improve performance on these red-team tests and strengthen overall model security.
                      4. Other information pertaining to the safety and reliability of dual-use foundation models, or activities or risks that present concerns to U.S. national security.
                      Notably, the EO does not mandate companies to conduct or report on environmental impact studies for each dual-use foundation model. Therefore, option C is not a required reporting obligation under the Executive Order.


                      NEW QUESTION # 56
                      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?

                      Answer: D

                      Explanation:
                      The correct answer is A. Pre- and post-deployment testing ensures bias, accuracy, and fairness are evaluated and corrected as needed, which is essential 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 Report 2024 (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 # 57
                      ......

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