IAPP Updated AIGP Exam Questions and Answers by rohan

The correct answer isB – Procedural. TheOECD Framework for Classifying AI Systemscategorizescodes of conduct and collective agreementsasprocedural toolsbecause 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 2025 elaborates:

“These procedural tools support internal accountability mechanisms and ethics compliance frameworks… they are part of soft governance.”

These toolsdo not measure or analyze technical performance, hence they arenot technical or analytic.

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Under the EU AI Act, high-risk AI systems like Crime Buster 9619 would require a detailed conformity assessment before being deployed in the EU market. This assessment ensures that the AI system complies with all relevant regulations and standards, addressing potential risks related to privacy, security, and discrimination. The company would not need to register the tool with the EU database (A), seek approval from an EU authority (B), or face a ban (D) as long as it meets the necessary conformity requirements​​​​.

The correct answer is A because deploying a proprietary agentic AI model places direct responsibility on the organization for the actions and outcomes of that system. AI governance frameworks emphasize accountability as a core principle, meaning organizations must take responsibility for harms caused by their AI systems, including misleading, biased, or unsafe outputs. Agentic AI systems, which can act autonomously and make decisions, introduce heightened liability risks because their behavior may directly impact users or third parties. Regulatory approaches increasingly focus on ensuring that deployers cannot shift responsibility, especially when the system is proprietary and under their control. The other options relate to operational or technical considerations, not primary legal liability. Ensuring accountability for AI behavior is central to compliance, risk management, and maintaining trust.

A, D, and E introduce processing materially different from the practices described in the existing privacy policy. Storing chatbot inputs for RAG creates an additional retention and reuse purpose that should be addressed through appropriate privacy disclosures and retention controls. Using customer-session information to retrain the underlying model creates a distinct secondary purpose beyond processing an order, even when the data is subsequently deleted. Scanning a customer ' s appearance to infer frustration or confusion introduces an entirely new category of observation and inference, requiring additional transparency, legal-basis analysis, proportionality assessment, and safeguards. By contrast, B involves transferring customer information to a service provider so the requested service can operate, which the existing policy already permits. C involves ordinary contact and delivery information retained through completion of the transaction, which also fits the stated policy.