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| Section | Objectives |
|---|---|
| Topic 1: Ethics, Privacy, and Responsible AI | - Ethical AI principles and compliance
|
| Topic 2: AI Risk Management | - Risk identification and assessment for AI systems
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| Topic 3: AI Lifecycle Controls | - Controls across AI development lifecycle
|
| Topic 4: Regulatory and Compliance Requirements | - Global AI regulatory landscape
|
| Topic 5: AI Governance and Strategy | - AI governance frameworks and organizational oversight
|
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NEW QUESTION # 46
A healthcare organization plans to use synthetic records in medical research to help protect patient privacy.
Which of the following is the GREATEST risk associated with using synthetic data to train AI models?
Answer: C
Explanation:
Synthetic data is generated algorithmically to resemble real data while protecting individual privacy.
However, synthetic data generation processes may not perfectly capture the full statistical diversity of real- world populations-particularly rare conditions, edge cases, and underrepresented demographic groups.
Why A is Correct: According to ISACA AAIR data quality guidance for AI, the greatest risk of training on synthetic data is that it may not reflect real-world diversity. In healthcare, this is particularly consequential because AI models trained on non-diverse synthetic data may perform poorly for patient populations not well- represented in the original real data-potentially producing inaccurate diagnoses or treatment recommendations for vulnerable groups, perpetuating health inequities.
Why B is Wrong: While reduced diversity could contribute to increased false negatives in some scenarios, this is a specific manifestation of the broader diversity problem. The root cause-lack of real-world representativeness-is the more fundamental and comprehensive risk.
Why C is Wrong: Regulatory noncompliance from synthetic data use depends on jurisdiction-specific requirements. Many regulations explicitly encourage synthetic data to protect privacy. While compliance must be verified, it is not the greatest inherent risk of synthetic data quality.
Why D is Wrong: Synthetic data generation occurs in controlled internal environments and is not inherently more susceptible to data poisoning than other data types. Poisoning risk is a function of data pipeline controls, not whether data is synthetic or real.
NEW QUESTION # 47
Which of the following BEST enables an organization adopting AI solutions to foster an ethical and risk- aware culture?
Answer: B
Explanation:
Organizational culture is primarily shaped by leadership behavior and tone at the top. In AI governance, an ethical culture cannot be mandated through documentation alone-it must be demonstrated through the actions and values of organizational leaders.
Why D is Correct: The ISACA AAIR Study Guide emphasizes that tone at the top is the most powerful driver of ethical culture. When leaders consistently model ethical behavior in AI development and usage, they create a normative environment where employees internalize values rather than merely complying with rules. This authentic leadership approach produces sustainable cultural change.
Why A is Wrong: Checklists are compliance tools that address process adherence, not cultural transformation.
A checklist culture can produce box-ticking behavior without genuine ethical commitment.
Why B is Wrong: Conference participation raises awareness but has minimal impact on day-to-day organizational behavior. External networking does not directly shape internal culture.
Why C is Wrong: Disciplinary actions represent reactive compliance enforcement. While necessary, punitive measures create a compliance-driven rather than values-driven culture, which is less robust and sustainable.
NEW QUESTION # 48
Which risk treatment is MOST appropriate when an organization's AI system presents residual risk within tolerance and impacts non-critical functions?
Answer: D
Explanation:
Risk treatment decisions are driven by two factors: whether the residual risk falls within or outside tolerance, and the criticality of the affected function. When both conditions-risk within tolerance AND non-critical function impact-are met, formal risk acceptance is the appropriate and proportionate treatment.
Why A is Correct: According to ISACA AAIR risk treatment guidance, documented formal risk acceptance is the appropriate response when residual risk is within defined tolerance for non-critical functions. Risk acceptance acknowledges the identified exposure, documents the organization's conscious decision to accept it, and establishes accountability for that decision. This proportionate response avoids over-investing in controls for risk that the organization has determined is acceptable.
Why B is Wrong: Recommending increases to tolerance thresholds is a governance manipulation rather than a risk treatment. Adjusting thresholds upward to accommodate risk does not address the risk; it merely reclassifies it as acceptable. This approach undermines risk governance integrity.
Why C is Wrong: Enhancing monitoring to detect deviations represents additional control investment that may be disproportionate for risk that is already within tolerance affecting non-critical functions. Enhanced monitoring is more appropriate when risk is near the tolerance boundary or when trends indicate potential future breach.
Why D is Wrong: Periodic vulnerability scanning is a security assurance activity that identifies technical weaknesses. It represents an ongoing control measure rather than the appropriate risk treatment decision for a residual risk that is already within tolerance.
NEW QUESTION # 49
An organization depends on multiple external suppliers for AI models and training datasets. Which of the following is MOST important to have in place in order to reduce supply chain risk?
Answer: D
Explanation:
AI supply chain risk arises when external models or datasets are tampered with, have undisclosed characteristics, or cannot be traced to trusted origins. End-to-end provenance and audit trails address these risks by enabling verification of integrity and origin at every stage of the supply chain.
Why A is Correct: According to ISACA AAIR supply chain risk management guidance, verifiable provenance and audit trails are the most important supply chain protection mechanism. Provenance documentation traces the origin, handling, and transformation history of every externally sourced AI artifact- enabling the organization to verify that models and datasets have not been tampered with, that data sources are legitimate, and that the supply chain has not been compromised. Without provenance, organizations cannot distinguish trustworthy from compromised artifacts.
Why B is Wrong: Indemnity clauses assign financial liability after harm occurs. They provide legal recourse but do not prevent supply chain attacks or help the organization verify artifact integrity before deployment.
Why C is Wrong: Training method documentation provides useful technical context but does not verify that the actual artifacts delivered match the documentation. Documentation can be falsified; provenance verification with cryptographic integrity checks cannot.
Why D is Wrong: A vendor risk manager provides governance oversight and relationship management. While important for managing vendor relationships, a single contact point does not substitute for technical provenance verification of every artifact in the supply chain.
NEW QUESTION # 50
An organization is integrating AI systems into core business operations and has decided to establish a formal process to align AI initiatives with corporate values. Which of the following is the GREATEST benefit of this decision?
Answer: A
NEW QUESTION # 51
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