IAPP AIGP Dumps Questions Answers

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 is D. Transparency obligations under data protection laws, such as GDPR and most AI governance frameworks, require that users whose data is being processed be directly informed.

From the AIGP ILT Guide (Privacy Module):

“The user privacy notice must be updated to explain the nature of automated processing, the logic involved, and the significance and consequences for the data subject.”

Also, per AI Governance in Practice Report 2024 (Part III):

“Transparency obligations apply throughout the lifecycle of AI… Individuals must be informed about automated decision-making and profiling that may impact them.”

Unlike internal policies or general privacy notices, the user privacy notice provides direct transparency to the individual data subjects affected by AI processing.

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The correct answer is D. Personalized content and advertisements, as long as properly disclosed and non-deceptive, are not generally a consumer protection issue under current legal regimes.

From the AI Governance in Practice Report 2024 (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) have already 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.”