ISACA Advanced in AI Audit AAIA Dumps in PDF

Free ISACA AAIA Real Questions (page: 5)

An organization shares an AI model with external partners. One partner reports that sensitive data has been inadvertently exposed through the model's outputs. Which of the following is the IS auditor's BEST recommendation?

  1. Retrain the model immediately and implement privacy-preserving techniques.
  2. Disable the shared model and notify partners of the potential breach.
  3. Limit the model's outputs to anonymized results while investigating further.
  4. Audit the data pipelines of all partners to identify the source of the leak.

Answer(s): A

Explanation:

The best recommendation is to retrain the model immediately and implement privacy-preserving techniques.
This addresses the root cause -- model exposure of sensitive data -- by reducing the risk of similar incidents in the future while restoring trust and ensuring compliance with privacy regulations.



Which of the following controls helps mitigate the risk of competitors poisoning data utilized by a machine learning (ML) model performing sentiment analysis of product reviews?

  1. Peer reviewing code that acquires product reviews from social media posts
  2. Hiring a marketing firm to text links to customers requesting product reviews for monetary compensation
  3. Requiring customers to authenticate access to their accounts prior to writing product reviews
  4. Augmenting the unbalanced product review data set with the use of oversampling by the model developer

Answer(s): C

Explanation:

Requiring customers to authenticate access to their accounts prior to writing product reviews helps mitigate the risk of data poisoning by ensuring that only legitimate users contribute to the training data. This reduces the likelihood of competitors injecting fake or malicious content into the dataset used for sentiment analysis.



The PRIMARY purpose of maintaining an audit trail in AI systems is to:

  1. facilitate transparency and traceability of decisions.
  2. analyze model accuracy and fairness.
  3. ensure compliance with regulatory standards for AI.
  4. measure computational efficiency.

Answer(s): A

Explanation:

The primary purpose of maintaining an audit trail in AI systems is to facilitate transparency and traceability of decisions. Audit trails provide a record of how decisions were made, what data was used, and which processes were followed -- supporting accountability, explainability, and trust in AI systems.



Which of the following is MOST important to review in order to gain assurance that an AI model is performing without biases?

  1. AI model temperature
  2. AI development environment
  3. AI training data
  4. AI model adaptability

Answer(s): C

Explanation:

The most important factor to review for assurance that an AI model is performing without biases is the AI training data. Biases are often introduced during the data collection and training phase, so examining the representativeness, completeness, and fairness of the data is critical to ensuring unbiased model behavior.



Which of the following is the MOST important risk for an IS auditor to consider when reviewing the adoption of an AI system?

  1. Immaturity of AI systems in the industry
  2. Resistance to the use of AI technology
  3. Costs associated with AI system maintenance
  4. Bias in AI system decision making

Answer(s): D

Explanation:

The most important risk for an IS auditor to consider when reviewing AI adoption is bias in AI system decision making. Bias can lead to unfair, unethical, or non-compliant outcomes, making it a critical concern from both operational and governance perspectives. Auditors must ensure that AI systems are transparent, fair, and aligned with regulatory and organizational values.



During an audit of an investment organization's AI-powered software, an IS auditor identifies a potential security risk. What is the GREATEST risk associated with staff exfiltrating organizational data to a generative AI tool?

  1. Excessive reliance on AI-generated insights
  2. Unauthorized data disclosure
  3. Potential business disruptions
  4. Data contamination due to biased AI model outputs

Answer(s): B

Explanation:

The greatest risk is unauthorized data disclosure. When staff input sensitive organizational data into a generative AI tool, it may be stored or processed outside the organization's control, potentially violating confidentiality agreements and regulatory requirements.



Which of the following will provide the BEST evidence to support the alignment of an AI model with an organization's business objectives?

  1. AI change management requests
  2. AI model vulnerability assessment
  3. AI acceptable use policy
  4. AI model inventory

Answer(s): D

Explanation:

An AI model inventory provides the best evidence of alignment with business objectives because it documents which models are in use, their purpose, ownership, and how they support organizational goals. This inventory allows auditors to trace AI initiatives directly to business needs and ensures that deployed models are purposeful and aligned with strategic priorities.



An organization uses third-party licensed data for training its AI models. During an audit, it is discovered that data usage restrictions were violated. Which of the following is the IS auditor's MOST appropriate recommendation?

  1. Review all organizational data agreements.
  2. Discontinue use of the AI model training data.
  3. Strengthen system development life cycle (SDLC) controls.
  4. Implement stronger data clustering techniques.

Answer(s): B

Explanation:

Discontinuing use of the AI model training data is the most appropriate action because continued use of data in violation of licensing restrictions exposes the organization to significant legal, financial, and compliance risks.
This step ensures immediate mitigation of noncompliance.



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