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ISACA AAIA Exam Syllabus Topics:

SectionObjectives
AI Governance and Risk- AI Security and Controls
  • 1. Threat and vulnerability management
  • 2. Vendor and supply chain risk
  • 3. Identity and access management
- AI Governance Frameworks
  • 1. AI policies and governance structures
  • 2. AI risk management
  • 3. Regulatory and compliance considerations
AI Operations- AI System Lifecycle
  • 1. Configuration and change management
  • 2. Monitoring and maintenance
  • 3. AI system development and deployment
- AI Data Management
  • 1. Training and testing data
  • 2. Operational AI controls
  • 3. Data quality and integrity
AI Auditing Tools and Techniques- AI Audit Planning
  • 1. Audit resource planning
  • 2. AI audit methodologies
  • 3. Audit scoping and objectives
- Audit Testing and Reporting
  • 1. Testing and sampling methodologies
  • 2. Evidence collection techniques
  • 3. Audit reporting and follow-up

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100% Pass 2026 ISACA AAIA: ISACA Advanced in AI Audit –High Hit-Rate Test Prep

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ISACA Advanced in AI Audit Sample Questions (Q232-Q237):

NEW QUESTION # 232
An organization ' s AI model used in the recruitment screening process was found to favor one gender of candidates over others. It was noted that the AI model was trained on recruitment records where the majority of new hires were male. Which bias would this BEST demonstrate?

Answer: C

Explanation:
" Historical Bias " occurs when the training data reflects existing social prejudices or past inequalities. If an organization's historical hiring practices favored males, an AI model trained on those records will " learn " that being male is a characteristic of a successful candidate. This automates and perpetuates past discrimination into future decisions. The AAIA™ manual emphasizes that auditors must evaluate training data for historical bias to ensure fairness. Unlike confirmation bias (which involves seeking data that supports existing beliefs) or label bias (which involves incorrect classification), historical bias is a systemic issue inherent in the data collection from a flawed real-world environment.


NEW QUESTION # 233
An IS auditor analyzed an AI model scorecard and identified that training data was imbalanced. Which of the following is the BEST recommendation to remediate risk?

Answer: D

Explanation:
Data imbalance (where one class significantly outweighs another) leads to biased models that perform poorly on minority classes. The ISACA AAIA™ manual suggests that " class-weighted loss " is a proactive technical control that penalizes the model more for misclassifying minority samples, effectively " balancing " the learning process. Stratified splitting ensures that every training and validation set maintains the same ratio of classes as the original data, preventing the model from failing to " see " minority cases during the testing phase. Tuning thresholds (Options B and C) happens after the fact, whereas weighting addresses the root cause during training.


NEW QUESTION # 234
Which of the following should be done FIRST when an AI chatbot has been identified as giving harmful advice?

Answer: C

Explanation:
When a system is actively producing harmful content, the priority is " immediate containment. " " Enabling content output filters " is a critical safety control that acts as a " guardrail, " blocking the harmful responses before they reach the end-user. While prompt sanitization (Option A) targets the input , harmful advice often stems from the model ' s internal logic regardless of the input. Output filters provide the fastest mitigation for protecting users and the organization ' s reputation. Once the immediate risk is contained, the organization can conduct a root-cause analysis and perform more permanent retraining or access segmentation.


NEW QUESTION # 235
An organization is reviewing its existing data governance framework after implementing an AI- based document repository solution. Which of the following should be the PRIMARY consideration?

Answer: B

Explanation:
The PRIMARY consideration is data classification (B), because the AI-based repository handles different types of documents that may contain sensitive, confidential, regulated, or public information. Proper classification ensures correct application of access controls, retention rules, encryption requirements, and privacy protections.


NEW QUESTION # 236
Which of the following should be done FIRST when an AI chatbot has been identified as giving harmful advice?

Answer: C

Explanation:
When a system is actively producing harmful content, the priority is "immediate containment."
"Enabling content output filters" is a critical safety control that acts as a "guardrail," blocking the harmful responses before they reach the end-user. While prompt sanitization (Option A) targets the input, harmful advice often stems from the model's internal logic regardless of the input.
Output filters provide the fastest mitigation for protecting users and the organization's reputation.
Once the immediate risk is contained, the organization can conduct a root-cause analysis and perform more permanent retraining or access segmentation.


NEW QUESTION # 237
......

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