ISACA Advanced in AI Audit AAIA Dumps in PDF

Free ISACA AAIA Real Questions (page: 6)

Which of the following is the MOST significant risk associated with a deep learning system algorithm being updated as it learns?

  1. System algorithms can easily be modified by attackers because the algorithms reside in system memory.
  2. Project stakeholders may not endorse the system because its behavior may be contrary to their expectations.
  3. Operational risk may increase because the system is continuously running.
  4. The system may generate discriminatory output because of biases in training data.

Answer(s): D

Explanation:

The most significant risk is that the system may generate discriminatory output due to biases in training data. Since deep learning systems update as they learn, existing biases can be amplified, leading to unethical, non-compliant, and potentially harmful outcomes.



When assessing the potential risk of implementing an AI system, it is MOST important to validate the model's:

  1. processing speed and computational efficiency,
  2. decision-making explanations and interpretability of its outputs,
  3. number of parameters and its overall complexity,
  4. compatibility with existing legacy software used by the organization.

Answer(s): B

Explanation:

Validating the AI system’s decision-making explanations and interpretability of outputs is most important because it ensures transparency, accountability, and trustworthiness. This helps stakeholders understand how conclusions are reached and supports compliance with governance and regulatory requirements.



An organization uses an AI video generation platform to create videos for public audiences. An IS auditor notes that there are no clear governance policies defining how viewers should be informed that content is generated by AI.
Which of the following recommendations would BEST ensure the ethical use of AI within this platform?

  1. Establish a policy requiring all AI-generated content to be labeled as such for transparency.
  2. Improve the production quality of AI-generated content to match industry standards.
  3. Conduct regular content accuracy checks to ensure AI-generated videos meet quality expectations.
  4. Limit access to the video generation platform to approved users within the organization.

Answer(s): A

Explanation:

Establishing a policy requiring all AI-generated content to be labeled ensures transparency and ethical use by informing viewers that the content is AI-generated. This directly addresses governance concerns and aligns with responsible AI practices.



Which of the following would be of GREATEST concern to an IS auditor reviewing an organization’s AI policies and procedures?

  1. The documentation of AI models does not address business resiliency and disaster recovery.
  2. The AI model does not have an approval process for production changes.
  3. External validation is not required for AI systems before deployment.
  4. The data privacy policy has not been reviewed in the past three years.

Answer(s): B



An IS auditor is participating in a task force to select an AI solution vendor. The vendor states that their product is only functional with web integration activated.
Which of the following is the GREATEST concern?

  1. AI training model environment
  2. Inappropriate algorithms used by the vendor
  3. Data hallucinations and biases
  4. Impacts on employee and contractor workforces

Answer(s): A

Explanation:

The greatest concern is the AI training model environment, since requiring web integration may expose sensitive training or operational data to external networks. This raises significant risks related to data security, privacy, and compliance.



In order to ensure effective alignment with organizational priorities, which of the following is MOST important for an IS auditor to address when developing an audit plan for an AI-based tool?

  1. Cost-benefit strategy for AI adoption
  2. AI users’ understanding of ethical standards
  3. The AI tool’s security alignment with governance policies
  4. Management practices for AI oversight

Answer(s): D

Explanation:

Management practices for AI oversight are most important for ensuring effective alignment with organizational priorities. Strong oversight ensures that AI adoption, use, and risks are managed in line with business goals, ethical standards, and governance frameworks.



An IS auditor is evaluating an organization’s AI-based hiring tool. The tool excludes candidates from postal codes correlating with specific demographic groups, despite not explicitly using race or ethnicity as input variables.
Which of the following is the auditor’s BEST course of action?

  1. Assess proxy variables within the AI model that may correlate with sensitive attributes.
  2. Advise the company to collect explicit demographic data to directly control for bias.
  3. Recommend removing all geographic data from the AI model training to ensure fairness.
  4. Suggest deploying a different AI model that does not consider any personal data.

Answer(s): A

Explanation:

Assessing proxy variables that may correlate with sensitive attributes is the best course of action. Postal codes can act as proxies for race or ethnicity, creating indirect discrimination. Identifying and addressing such proxy variables helps ensure fairness and compliance in AI-driven hiring.



An IS auditor is utilizing an AI chat tool to assist with grammar and improve the overall readability of a report they are writing.
Which of the following is the MOST significant risk the auditor should consider when using this AI tool?

  1. The AI tool may alter the intended meaning of the content, leading to misinterpretation of the report.
  2. The auditor may become overly reliant on the AI tool, compromising their own writing skills.
  3. The AI tool may introduce new grammatical errors that were not present in the original text.
  4. The use of the AI tool may increase the risk of intellectual property violations.

Answer(s): A

Explanation:

The most significant risk is that the AI tool may alter the intended meaning of the content, leading to misinterpretation of the audit report. This directly impacts the accuracy, reliability, and credibility of audit findings.



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