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>> AAISM Study Materials Review <<
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NEW QUESTION # 174
An organization deploying an LLM is concerned input manipulations could compromise security.
What is the MOST effective way to determine an acceptable risk threshold?
Answer: A
Explanation:
AAISM instructs that acceptable risk thresholds must be determined using business impact analysis. This aligns with the broader enterprise risk management principle of defining tolerances based on:
- potential harm
- regulatory exposure
- financial impact
- operational disruption
NEW QUESTION # 175
After deployment, an AI model's output begins to drift outside of the expected range. Which of the following is the development team's BEST course of action?
Answer: B
Explanation:
AAISM emphasizes that when model drift occurs, the best response is not a quick fix but rather to revisit an earlier phase of the AI life cycle to address data quality, retraining, or evaluation processes. Simply taking the model offline halts functionality without resolution, while adjusting hyperparameters or issuing emergency changes treats the symptom rather than the root cause.
Proper governance requires returning to the design or training phases to re-establish stability, accuracy, and compliance of the model. Thus, the correct approach is to return to an earlier AI lifecycle phase.
NEW QUESTION # 176
Which of the following is the MOST important factor to consider when selecting industry frameworks to align organizational AI governance with business objectives?
Answer: C
Explanation:
According to AAISM governance principles, the risk appetite of the organization is the most important factor in selecting appropriate frameworks for AI governance. Risk appetite defines the level of risk an organization is willing to accept in pursuit of its objectives, ensuring frameworks are aligned with strategic goals. Risk tolerance and thresholds are operational measures derived from appetite, and the risk register is a documentation tool. The foundational consideration for framework alignment is the organization's risk appetite.
References:
AAISM Exam Content Outline - AI Governance and Program Management (Risk Appetite in Governance Alignment) AI Security Management Study Guide - Framework Selection and Business Strategy
NEW QUESTION # 177
An organization plans to use AI to analyze the shopping patterns of its customers to predict interests and send targeted, customized marketing emails. Which of the following should be done FIRST?
Answer: C
Explanation:
The first action, before any processing of personal data for AI-driven profiling and targeted communications, is to establish a lawful basis for processing. Under AAISM-aligned privacy governance, explicit and informed consent is prioritized for new or sensitive uses such as interest profiling and targeted marketing. Consent ensures purpose limitation, transparency, and user control prior to model ingestion and campaign activation.
Training teams, updating terms of service, or verifying contact details are important, but they do not provide legal authority to process data; therefore, they follow after consent is obtained.
References: AI Security Management™ (AAISM) Body of Knowledge - Privacy Governance and Lawful Basis; Purpose Limitation and Transparency; Consent Management in AI-enabled Marketing. AAISM Study Guide - Data Protection Controls for AI Profiling; Consent Capture and Record-Keeping.
NEW QUESTION # 178
A financial organization is deploying an AI-driven customer service platform that uses customer financial data and personalized responses. To ensure the platform remains compliant with data protection regulations, which of the following controls would be MOST important to implement?
Answer: C
Explanation:
Clear, granular, and revocable customer consent is essential for compliance with data protection regulations when processing personal financial data. It ensures customers understand and control how their information is used by the AI platform, supporting lawful processing, transparency, and user rights management.
NEW QUESTION # 179
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