ISACA Advanced in AI Audit AAIA Dumps in PDF

Free ISACA AAIA Real Questions (page: 9)

During an audit of an organization that has adopted AI, it was discovered that data ownership responsibilities were not clearly defined. Which of the following is the MOST likely consequence of this gap?

  1. Higher operational costs for managing data storage solutions
  2. Reduced organizational reliance on AI solutions
  3. Decreased performance of AI models due to redundant data ownership
  4. Increased risk of data breaches due to lack of accountability

Answer(s): D

Explanation:

The most likely consequence of unclear data ownership is an increased risk of data breaches due to lack of accountability. Without defined ownership, responsibilities for protecting, monitoring, and governing data are unclear, weakening security and compliance.



Which of the following should be the PRIMARY consideration when establishing an accountability structure for AI governance?

  1. Ensuring AI systems are used ethically and responsibly
  2. Minimizing financial risk associated with AI implementation
  3. Maximizing the efficiency and productivity gains from AI technologies
  4. Protecting the intellectual property rights of AI developers

Answer(s): A

Explanation:

The primary consideration in establishing an accountability structure for AI governance is ensuring AI systems are used ethically and responsibly. This underpins trust, compliance, and risk management while aligning AI use with organizational and societal values.



Which of the following is the GREATEST risk associated with using facial recognition authentication for opening bank accounts?

  1. Inconsistent image quality across devices can reduce the accuracy of identity verification algorithms.
  2. AI-generated deepfake or synthetic images can fool the authentication system.
  3. Authentication may fail if the user is wearing sunglasses or a mask.
  4. The system may incorrectly reject valid facial images due to strict thresholds.

Answer(s): B

Explanation:

The greatest risk is that AI-generated deepfake or synthetic images can fool the authentication system. This represents a serious security and fraud risk, as attackers could bypass identity verification entirely using artificially created facial images.



Which of the following is MOST important for an IS auditor to assess when reviewing logs of prompts and corresponding AI responses?

  1. Employee use of the AI model outside of business hours
  2. Disclosure of confidential information in response to queries
  3. Volume of storage utilized and length of retention periods
  4. Inadequate AI model training prior to being migrated to production

Answer(s): B

Explanation:

The most important factor to assess is the disclosure of confidential information in AI responses. Reviewing logs ensures sensitive data is not exposed or mishandled, which is critical for maintaining privacy, security, and regulatory compliance.



Which of the following is the MOST important to ensure an organization's management is fulfilling ethical responsibilities related to AI?

  1. Ensure human rights are protected from the potential negative impacts of AI.
  2. Ensure risk assessments are performed to identify regulatory risks.
  3. Model future changes in personal and social behavior where AI may play a pivotal role.
  4. Design international ethics standards to be observed by the organization.

Answer(s): A

Explanation:

Ensuring that human rights are protected from the potential negative impacts of AI is the most important ethical responsibility. It establishes a foundation of fairness, accountability, and respect for individuals, which underpins all other governance and compliance measures.



A company is developing an AI system to generate videos and images. Which of the following would BEST enable the company to mitigate harm caused by deepfakes?

  1. Differential privacy
  2. Watermarking
  3. Sanitization
  4. Model encryption

Answer(s): B

Explanation:

Watermarking best enables the company to mitigate harm caused by deepfakes. It provides a reliable way to indicate content authenticity and helps distinguish genuine media from AI-generated manipulations.



An audit reveals inconsistencies in the retention period of data used for AI training. What is the BEST recommendation to mitigate this risk?

  1. Enhance licensing agreements to include retention clauses.
  2. Establish a dedicated data clustering team for ongoing oversight.
  3. Implement automated data cleansing tools to enforce retention policies.
  4. Assign data ownership roles to the AI model development team.

Answer(s): C

Explanation:

Implementing automated data cleansing tools to enforce retention policies is the best recommendation. This ensures consistent application of data retention requirements, reduces compliance risks, and minimizes the chance of outdated or noncompliant data being used for AI training.



An IS auditor reviewing an AI-based data governance program discovers that there is no formal data classification policy in place. Which of the following is the MOST likely consequence of this gap?

  1. Inappropriate handling of sensitive data during AI model training
  2. Delayed AI model deployment due to data inefficiencies
  3. Reduced data cleansing accuracy due to lack of categorization
  4. Unauthorized data sharing with contractors

Answer(s): A

Explanation:

The most likely consequence of not having a formal data classification policy is inappropriate handling of sensitive data during AI model training. Without classification, sensitive information may be exposed, mishandled, or used in violation of compliance requirements.



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