Which of the following is MOST important to consider when communicating about generative AI systems to stakeholders?
Answer(s): A
Transparent communication about generative AI capabilities and limitations ensures stakeholders understand what the system can and cannot do, mitigating unrealistic expectations, managing risk, and supporting responsible adoption and governance.
Which of the following is MOST important for an IS auditor to consider when evaluating an AI model’s decision-making process?
Answer(s): C
Ethical risk is central when evaluating an AI model’s decision-making because it addresses fairness, bias, discrimination, and responsible use, ensuring that AI outputs do not harm individuals or violate ethical standards.
Which of the following is the GREATEST risk when a generative AI tool used for threat detection produces inaccurate or misleading information?
Inaccurate or misleading outputs from a threat detection AI directly impact the organization’s ability to identify real threats. Missing actual threats exposes systems to compromise, making this the most critical risk compared to secondary effects like unreliable metrics or misclassification of severity.
Which control is MOST important to verify in order to ensure proper data management with AI systems?
Answer(s): D
A data governance framework provides the overarching structure for how data is managed, including policies, standards, roles, and controls. It ensures consistent handling, quality, security, and compliance of data across AI systems, making it the most critical control for proper data management.
An organization using AI to create digital content faces challenges in protecting its intellectual property. The content is often shared online or used by clients in various digital platforms. Which of the following is the BEST way to mitigate this risk?
Answer(s): B
Watermarking embeds identifiable markers into generated content, allowing the organization to assert ownership and trace unauthorized use. This directly protects intellectual property when content is distributed or reused across digital platforms.
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