IAPP AIGP Exam Dumps

Private LLMs offer advantages likecustomizability,reduced hallucination,confidentiality, andalignment with enterprise-specific tasks, but theydo not inherently reduce the time or effortneeded fordata validation or verification--- which remains an essential step regardless of model privacy.

From the AI risk and quality sections:

''Ensuring the quality of the data... is highly contextual and must be validated regardless of the model's deployment environment.'' (p. 17)

B, C, Dare legitimate benefits of private LLMs.

Ais incorrect --- validation still requires time and resources.

The November 2023 White House Executive Order provides guidance that governmental agencies should limit access to specific uses of generative AI. This means that generative AI tools should be used in a controlled manner, where their applications are restricted to well-defined, approved use cases that ensure the security, privacy, and ethical considerations are adequately addressed. This approach allows for the benefits of generative AI to be harnessed while mitigating potential risks and abuses.

The common types of machine learning include supervised learning, unsupervised learning, reinforcement learning, and deep learning. Cognitive learning is not a type of machine learning; rather, it is a term often associated with the broader field of cognitive science and psychology. Reference: AIGP BODY OF KNOWLEDGE and standard AI/ML literature.

Respecting intellectual property rights means adhering to licensing terms and ensuring that generated content complies with these terms. A system that categorizes and applies filters based on licensing terms ensures that content is used legally and ethically, respecting the rights of content creators. While providing attribution is important, categorization and application of filters based on licensing terms are more directly tied to compliance with intellectual property laws. This principle is elaborated in the IAPP AIGP Body of Knowledge sections on intellectual property and compliance.

The correct answer isB. AllowingPIIto be freely entered into prompts without safeguards is considered amajor privacy and security riskand is not a responsible governance practice.

From the AIGP ILT Guide -- Generative AI & Third-Party Risk Management:

''Use of personal or sensitive information in AI prompts can result in unintended exposure, regulatory breaches, and downstream liability.''

The AI Governance in Practice Report 2025 highlights:

''PII should be minimized or protected by design. Prompt engineering should prevent entry of personally identifiable data unless legally and technically safeguarded.''

A, C, and D are established best practices under responsible AI procurement and use.

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