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?
Answer(s): D
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?
Answer(s): A
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?
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.
Which of the following is MOST important to have in place before implementing a system that utilizes AI?
Answer(s): C
Having a model evaluation and validation methodology in place is most important before implementing an AI system. It ensures the AI is tested for accuracy, fairness, and reliability, reducing risks of incorrect or biased outcomes once deployed.
A car insurance company uses an AI model to determine customer premiums. To ensure the ethical use of this model, which of the following testing practices should the company consider to be MOST important?
Testing to ensure the model’s predictions do not discriminate based on age or gender is most important for ethical use. This directly addresses fairness, prevents bias, and ensures compliance with regulatory and ethical standards in premium determination.
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