Pass the IAPP Artificial Intelligence Governance AIGP Questions and answers with CertsForce

The correct answer is C, the Federal Trade Commission. The FTC plays a central role in U.S. AI governance by enforcing consumer protection and unfair or deceptive practices laws. In the context of AI systems such as companion chatbots, the FTC has authority to investigate risks related to user harm, transparency, safety, and misleading claims. AI governance frameworks emphasize regulatory oversight where AI systems may impact individuals psychologically, financially, or socially. Agencies like the FTC focus on ensuring that companies deploying AI systems do not cause harm through unsafe or deceptive practices and that they provide adequate disclosures about risks and system behavior. This aligns with broader AI governance principles of accountability, transparency, and risk management highlighted in the AI Governance in Practice Report 2024 , which stresses the importance of regulatory involvement in managing AI-related risks.

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.

The EU AI Act outlines what must be included intechnical documentationfor high-risk systems. These requirements are designed to supportconformity assessment, transparency, and traceability.

From theAI Governance in Practice Report 2025:

“It mandates drawing up technical documentation… must include a general description of the AI system, the intended purpose, and a detailed description of the elements and development process.” (p. 34)

“Documentation… includes training, testing, evaluation procedures, andappropriateness of performance metrics.” (p. 34–35)

Therisk management systemis addressed separately through arisk management plan, not within the technical documentation itself.

Thus:

A, C, and Dare explicitly required in thetechnical documentation.

B, while important, is part of therisk management process, not a required section oftechnical documentation.

Defining the roles and responsibilities of AI stakeholders is crucial for encouraging accountability over AI systems. Clear delineation of who is responsible for different aspects of the AI lifecycle ensures that there is a person or team accountable for monitoring, maintaining, and addressing issues that arise. This accountability framework helps in ensuring that ethical standards and regulatory requirements are met, and it facilitates transparency and traceability in AI operations. By assigning specific roles, organizations can better manage and mitigate risks associated with AI deployment and use.

An AI system that maintains its level of performance within defined acceptable limits despite real-world or adversarial conditions is described as resilient. Resilience in AI refers to the system ' s ability to withstand and recover from unexpected challenges, such as cyber-attacks, hardware failures, or unusual input data. This characteristic ensures that the AI system can continue to function effectively and reliably in various conditions, maintaining performance and integrity. Robustness, on the other hand, focuses on the system ' s strength against errors, while reliability ensures consistent performance over time. Resilience combines these aspects with the capacity to adapt and recover.

The correct answer isA. TheARIA programby NIST is explicitly designed tosupport stakeholders in understanding and managing the risks and impactsof 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 2025 (Frameworks Section):

“ARIA supports and aligns with the AI Risk Management Framework by helping organizations assess AI harms, safety concerns, and societal implications.”

ARIA isnota red-teaming or sandbox program—it’s anassessment and governance resource.

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Human-centric AI focuses on improving the human experience by addressing individual needs and enhancing human capabilities. Option D exemplifies this by using virtual assistants to tailor educational content to each student ' s unique abilities and needs, thereby supporting personalized learning and improving educational outcomes. This use case directly benefits individuals by providing customized assistance and adapting to their learning pace and style, aligning with the principles of human-centric AI.

When anew versionof a third-party model is released, the deployer must ensure it still meets safety, performance, and compliance requirements — which calls for aformal audit.

From theAI Governance in Practice Report 2025:

“Any updates or changes to AI systems should trigger a re-evaluation to ensure continued compliance and performance.” (p. 12)

“Post-market monitoring includes reassessing the impact of updated models or retraining.” (p. 35)