Which approach should an organization prioritize to effectively verify the security of its AI models?
Answer(s): B
An AI-specific testing strategy that incorporates threat modeling and adversarial attack simulations directly addresses the unique risks of AI systems, such as model manipulation, data poisoning, and evasion attacks, providing effective verification of AI model security.
When deriving statistical information generated by AI systems, which of the following sources of risk is MOST important to address?
Answer(s): D
Systemic bias in data sets directly affects the validity and reliability of statistical information produced by AI systems, leading to skewed outcomes and incorrect conclusions that cannot be corrected through post-processing alone.
Which of the following approaches BEST helps to reduce model bias?
Answer(s): A
Ensuring diversity in training data sources reduces model bias by improving representativeness across different populations and scenarios, which directly mitigates skewed learning and unfair outcomes.
An organization plans to leverage AI in the software development process to speed up coding. Which of the following should the information security manager do FIRST?
Conducting an impact assessment first allows the information security manager to understand the risks, security implications, and potential impacts of using AI in software development, ensuring informed decisions before implementing controls, training, or cost analysis.
An organization plans to use an open-source foundational AI model. Which of the following is MOST important for the AI governance committee to consider when approving the use of the model?
Confidential data leakage is the most critical consideration because using an open-source foundational AI model can expose sensitive organizational data through training, fine-tuning, logging, or prompt interactions, creating significant security and compliance risks if not properly controlled.
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