Which of the following BEST helps an organization manage bias in AI model decisions?
Answer(s): B
Establishing standardized fairness criteria provides a consistent framework to identify, measure, and control bias in AI decisions, ensuring that models are evaluated and governed against defined fairness objectives.
An IS auditor learns that an organization uses AI facial recognition technology for security purposes. Which of the following is the GREATEST ethical concern with this practice?
Answer(s): A
Facial recognition systems can disproportionately misidentify or perform less accurately for certain demographic groups, leading to unfair or discriminatory outcomes, which represents the most significant ethical concern.
An IS auditor identifies that an organization is mixing AI-generated content into training data without labeling. Which of the following presents the GREATEST risk in this scenario?
Answer(s): D
Mixing unlabeled AI-generated content into training data can cause the model to treat its own prior outputs as ground truth, leading to self-reinforcing errors and degradation of accuracy over time.
An organization utilizes an off-the-shelf generative AI solution for internal business processing. According to the principle of shared responsibility when deploying this AI solution, which of the following areas remains the PRIMARY responsibility of the organization?
Under the shared responsibility model, the organization is responsible for how the AI solution is used, including defining usage policies and enforcing identity and access controls to ensure secure and appropriate access.
The internal audit department of a large global organization is evaluating the use of an AI-based voice-to-speech tool to document interviews during audits. The tool uploads all recordings to a cloud service provider for transcription. Which of the following is the GREATEST risk?
Uploading sensitive audit interview recordings to a cloud provider introduces the risk that confidential information could be accessed by unauthorized parties within or through the vendor, posing a significant confidentiality and compliance risk.
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