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IAPP AIGP Exam Syllabus Topics:

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

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                      IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q173-Q178):

                      NEW QUESTION # 173
                      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.
                      The data processed by the AI system would be classified as:

                      Answer: D

                      Explanation:
                      The correct answer is D. Keystroke dynamics, used to identify individuals, fall under biometric data, which is a special category of personal data under the GDPR and other frameworks.
                      From the AI Governance in Practice Report 2024:
                      "Keystroke dynamics may constitute biometric data if used to uniquely identify an individual... Biometric data is classified as special category personal data and requires higher protection standards." Also reflected in ILT Participant Guide:
                      "Biometric data, such as facial images, voiceprints, iris scans or keystroke patterns, are treated as special category data when they are used for the purpose of uniquely identifying individuals."


                      NEW QUESTION # 174
                      An organization that provides AI services to clients has decided to adopt ISO/IEC 42001:2023.
                      How does the standard define the relationship between the AI policy and the other policies already in place at the organization?

                      Answer: C

                      Explanation:
                      ISO/IEC 42001:2023 establishes an Artificial Intelligence Management System designed to integrate AI governance into an organization ' s existing management structure rather than create an isolated governance regime. Its AI-policy requirements state that the policy should refer, where relevant, to other organizational policies. Therefore, A most accurately describes the relationship. The standard does not require the organization to absorb all related security, privacy, quality, risk, or compliance policies into one AI policy, making B incorrect. C is inconsistent with integrated governance because AI issues commonly intersect with information security, privacy, procurement, data governance, human resources, and enterprise risk management. Management review is an important management-system activity, but D does not state the relationship required between the AI policy and existing policies. ISO/IEC 42001 consequently favors coordinated and mutually aligned organizational governance.


                      NEW QUESTION # 175
                      A company initially intended to use a large data set containing personal information to train an Al model.
                      After consideration, the company determined that it can derive enough value from the data set without any personal information and permanently obfuscated all personal data elements before training the model.
                      This is an example of applying which privacy-enhancing technique (PET)?

                      Answer: D

                      Explanation:
                      Anonymization is a privacy-enhancing technique that involves removing or permanently altering personal data elements to prevent the identification of individuals. In this case, the company obfuscated all personal data elements before training the model, which aligns with the definition of anonymization. This ensures that the data cannot be traced back to individuals, thereby protecting their privacy while still allowing the company to derive value from the dataset. Reference: AIGP Body of Knowledge, privacy-enhancing techniques section.


                      NEW QUESTION # 176
                      Scenario:
                      A U.S.-based AI governance professional is evaluating resources from the National Institute of Standards and Technology (NIST) to guide the organization's AI risk assessment strategy. They are particularly interested in programs focused on assessing AI-specific impacts.
                      The main purpose of NIST's Assessing Risks and Impacts of AI (ARIA) program is to:

                      Answer: A

                      Explanation:
                      The correct answer is A. The ARIA program by NIST is explicitly designed to support stakeholders in understanding and managing the risks and impacts of AI systems.
                      From the AIGP ILT Guide - U.S. Risk Frameworks Module:
                      "NIST's ARIA program develops and pilots assessment tools for AI risks and impacts, aimed at improving organizational capacity for responsible AI use." Also cited in the AI Governance in Practice Report 2024 (Frameworks Section):
                      "ARIA supports and aligns with the AI Risk Management Framework by helping organizations assess AI harms, safety concerns, and societal implications." ARIA is not a red-teaming or sandbox program-it's an assessment and governance resource.


                      NEW QUESTION # 177
                      The best practice to manage third-party risk associated with AI systems is to create and implement policies that:

                      Answer: B

                      Explanation:
                      Effective third-party AI risk management requires policies that establish a risk-based approach with appropriate due diligence and ongoing monitoring proportional to the level of risk posed by the third-party system.


                      NEW QUESTION # 178
                      ......

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