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IAPP AIGP Exam Syllabus Topics:

SectionObjectives
Topic 1: AI Risk Management and Impact Assessment- Risk identification and mitigation
  • 1. AI risk categories and classification
    • 2. Bias, fairness, and transparency risks
      Topic 2: 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
              Topic 3: Regulatory and Legal Frameworks for AI- Global AI governance regulations
              • 1. NIST AI Risk Management Framework
                • 2. EU AI Act principles
                  Topic 4: AI Lifecycle Governance Implementation- Operational governance controls
                  • 1. Deployment and monitoring controls
                    • 2. Model development oversight

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                      IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q82-Q87):

                      NEW QUESTION # 82
                      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 # 83
                      Which of the following use cases would be best served by a non-AI solution?

                      Answer: A

                      Explanation:
                      The correct answer is A because developing a social media presence typically does not require AI and can be effectively achieved through traditional digital marketing strategies, content planning, and manual engagement. AI governance principles emphasize that organizations should first determine whether AI is necessary or proportionate to the problem being solved. Using AI where simpler, deterministic, or human-driven solutions suffice can introduce unnecessary complexity, cost, and risk. In contrast, options B, C, and D involve tasks such as campaign optimization, personalization, and automation, which benefit significantly from AI capabilities like pattern recognition, predictive analytics, and natural language processing. Responsible AI governance encourages a "fit-for-purpose" approach, ensuring AI is only deployed when it provides clear added value over non-AI alternatives.


                      NEW QUESTION # 84
                      A company has developed a proprietary AI model that analyzes consumer online behavior and predicts what prices consumers would be willing to pay for certain products, so that retailers may modify pricing accordingly. To test the model, the company has:
                      Performed an impact assessment
                      Conducted repeatability tests
                      Exposed the model to edge cases and potential malicious input
                      Conducted adversarial testing to identify security threats
                      Assessed and mitigated discrimination risks
                      Which additional responsible AI principle has the company failed to assess?

                      Answer: C

                      Explanation:
                      The correct answer is D because the company has already addressed several key responsible AI principles, including fairness through discrimination risk mitigation, robustness through adversarial and edge-case testing, and reliability via repeatability testing. However, there is no indication that the company has addressed transparency, which involves providing clear information about how the model operates, how pricing decisions are made, and how outputs may affect consumers. Transparency is a critical AI governance principle, especially in consumer-facing applications like dynamic pricing, where decisions can significantly impact individuals. Governance frameworks emphasize that users and stakeholders should be informed about AI-driven decisions and their implications. Without transparency, even technically sound and fair systems may lack trustworthiness and fail to meet regulatory or ethical expectations.


                      NEW QUESTION # 85
                      An AI system's function, the industry and the location in which it operates are important factors in considering which of the following?

                      Answer: D

                      Explanation:
                      The AI system's function, industry, and operational location influence the internal governance needs necessary to ensure compliance, risk management, and ethical considerations appropriate to the context.


                      NEW QUESTION # 86
                      Scenario:
                      A global organization wants to align with international frameworks on AI governance. They are reviewing guidance from the OECD on how to incorporate broader governance tools into their AI program.
                      Codes of conduct and collective agreements are what type of assessment tools as defined by the Organization for Economic Cooperation and Development (OECD)?

                      Answer: B

                      Explanation:
                      The correct answer is B - Procedural. The OECD Framework for Classifying AI Systems categorizes codes of conduct and collective agreements as procedural tools because they guide internal governance and decision-making processes.
                      From the AIGP ILT Participant Guide - Global Governance Models:
                      "Procedural tools include internal codes of conduct, collective agreements, and procedural audits that guide governance without necessarily involving technical measurement." AI Governance in Practice Report 2024 elaborates:
                      "These procedural tools support internal accountability mechanisms and ethics compliance frameworks...
                      they are part of soft governance."
                      These tools do not measure or analyze technical performance, hence they are not technical or analytic.


                      NEW QUESTION # 87
                      ......

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