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| Vendor: | IAPP |
|---|---|
| Exam Code: | AIGP |
| Exam Name: | Artificial Intelligence Governance Professional |
| Exam Questions: | 194 |
| Last Updated: | April 15, 2026 |
| Related Certifications: | IAPP Certification Programs |
| Exam Tags: | Professional AI project managersAI governance professionals |
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Which risk management framework/guide/standard focuses on value-based engineering methodology?
The IEEE 7000-2021 Standard focuses on a value-based engineering methodology for addressing ethical concerns during system design. This standard guides engineers and organizations in integrating ethical considerations into the design and development processes of AI systems, ensuring that these technologies are developed responsibly and align with human values. Reference: AIGP Study Material, section on risk management frameworks and standards.
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.
When prioritizing the updates to its policies, rules and procedures to include the new AI system for user authentication, the organization should:
The correct answer is.C This action ties directly into principles of data minimization, purpose limitation, and lawfulness of processing, which are central to privacy and AI governance.
From the AIGP Body of Knowledge, Section on Privacy Considerations:
''Personal data must only be processed for specified and lawful purposes. Organizations must consider whether they have a legal basis for processing such data under data protection laws like the GDPR or CCPA.''
Additionally, AI Governance in Practice Report 2025 emphasizes:
''One of the most significant challenges when designing and developing AI systems is ensuring the data used is appropriate for the intended purpose... Managing unnecessary data, especially data that may contain sensitive attributes, can increase risk.''
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According to the EU Al Act, providers of what kind of machine learning systems will be required to register with an EU oversight agency before placing their systems in the EU market?
According to the EU AI Act, providers of high-risk AI systems are required to register with an EU oversight agency before these systems can be placed on the market. This requirement is part of the Act's framework to ensure that high-risk AI systems comply with stringent safety, transparency, and accountability standards. High-risk systems are those that pose significant risks to health, safety, or fundamental rights. Registration with oversight agencies helps facilitate ongoing monitoring and enforcement of compliance with the Act's provisions. Systems categorized under other criteria, such as those trained on sensitive personal data or exhibiting 'strong' general intelligence, also fall under scrutiny but are primarily covered under different regulatory requirements or classifications.
Scenario:
A company is using different types of AI systems to enhance consumer engagement. These include chatbots, recommendation engines, and automated content generation tools.
Which of the following situations would beleast likelyto raise concerns under existing consumer protection laws?
The correct answer isD. Personalized content and advertisements, as long as properly disclosed and non-deceptive, arenot generally a consumer protection issueunder current legal regimes.
From the AI Governance in Practice Report 2025 (Consumer Protection Section):
''Standard practices like targeted advertising and recommendations are widely accepted provided they comply with transparency and consent requirements.''
Meanwhile, credit decision-making and misleading AI performance claims (Answers A and B) havealready led to regulatory enforcement.
The AIGP ILT Guide highlights:
''Deceptive claims, biased financial decisions, and unauthorized data use may violate consumer protection and privacy laws. Advertising personalization is routine but must be disclosed appropriately.''
The benefit of having a clear process for handling AI-related incidents is that it reduces?
The correct answer is A because having a well-defined incident management process enables organizations to respond quickly and effectively when AI-related issues arise. AI governance frameworks emphasize incident management plans as a key component of operational governance, ensuring that risks such as system failures, harmful outputs, or security breaches are promptly identified, escalated, and resolved. A structured process reduces delays by clearly defining roles, responsibilities, and response procedures, thereby minimizing potential harm and operational disruption. While incident processes may also indirectly support compliance and reduce the impact of failures, their primary benefit is improving responsiveness and coordination. Efficient response times are critical in maintaining trust, ensuring safety, and limiting negative consequences in real-world AI deployments.
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