From a risk perspective, which of the following is the MOST important step when implementing an adoption strategy for AI systems?
Answer(s): C
From a risk perspective, the critical step is to formally assess AI-specific risks and document them in the enterprise risk register. This ensures that AI risks are identified, quantified, monitored, and managed alongside other organizational risks, providing a foundation for informed adoption decisions and governance.
Which of the following is MOST important to monitor in order to ensure the effectiveness of an organization's AI vendor management program?
Answer(s): D
The primary goal of AI vendor management is to ensure that third-party providers adhere to contractual, regulatory, and ethical standards. Monitoring vendor compliance with AI-related requirements directly confirms that vendors meet security, privacy, and governance obligations, reducing organizational risk.
After deployment, an AI model's output begins to drift outside of the expected range. Which of the following is the development team's BEST course of action?
Answer(s): A
The PRIMARY ethical concern of generative AI is that it may:
Generative AI can produce outputs that are plausible but incorrect or misleading, compromising the accuracy and trustworthiness of information. This integrity issue is a primary ethical concern, as it can affect decision-making, reputation, and compliance.
To ensure AI tools do not jeopardize ethical principles, it is MOST important to validate that:
The core ethical concern in AI is preventing harm caused by biased or unfair outputs. Validating that AI tools do not perpetuate adverse biases ensures fairness, equity, and responsible decision-making, directly addressing ethical risks in AI deployment.
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