As organizations increasingly rely on vendors to develop AI systems, which of the following is the MOST effective way to monitor vendors and ensure compliance with ethical and security standards?
Answer(s): C
Regular audits provide an independent, systematic way to verify that vendors comply with ethical, security, and regulatory standards throughout the AI development lifecycle. This approach ensures accountability and identifies gaps or risks that self-attestation or internal monitoring alone might miss.
A large language model (LLM) has been manipulated to provide advice that serves an attacker's objectives. Which of the following attack types does this situation represent?
Answer(s): B
Which area of intellectual property law presents the GREATEST challenge in determining copyright protection for AI-generated content?
Copyright law traditionally protects works created by human authors. AI-generated content challenges this principle because it is unclear who - if anyone - can be considered the legal author. Determining ownership is therefore the most significant intellectual property issue for AI-generated works.
A financial institution plans to deploy an AI system to provide credit risk assessments for loan applications. Which of the following should be given the HIGHEST priority in the system's design to ensure ethical decision making and prevent bias?
Ensuring that humans retain ultimate decision-making authority mitigates ethical and bias-related risks in AI-driven credit assessments. This human-in-the-loop approach allows expert review of AI recommendations, ensuring fairness, accountability, and compliance with regulatory and ethical standards.
Which of the following security framework elements BEST helps to safeguard the integrity of outputs generated by AI algorithms?
Maintaining AI output integrity involves monitoring and controlling risks such as bias, errors, or manipulation. Keeping risk exposure within an acceptable range ensures that AI-generated results are reliable, trustworthy, and aligned with organizational and regulatory standards.
Which of the following is the BEST mitigation control for membership inference attacks on AI systems?
Differential privacy adds controlled noise to data or model outputs, preventing attackers from inferring whether specific individuals’ data were included in the training set. This is the most effective mitigation against membership inference attacks, protecting sensitive information while maintaining overall model utility.
From a risk perspective, which of the following is the MOST important step when implementing an adoption strategy for AI systems?
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.
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