Which of the following controls BEST mitigates the risk of bias in AI models?
Answer(s): B
Bias in AI models often arises from unrepresentative or homogeneous datasets. By sourcing data from diverse populations, contexts, and conditions, organizations can reduce systemic bias, improve fairness, and ensure that the AI model performs equitably across different groups.
Which of the following would MOST effectively ensure an organization developing AI systems has comprehensive data classification and inventory management?
Answer(s): A
An automated data cataloging tool provides a centralized, up-to-date inventory of all data assets, automatically classifying data across repositories. This ensures comprehensive visibility, consistency, and accuracy, which is critical for AI development, compliance, and risk management.
An organization using an AI model for financial forecasting identifies inaccuracies caused by missing data. Which of the following is the MOST effective data cleaning technique to improve model performance?
Using statistical techniques - such as imputation, interpolation, or mean/mode substitution - addresses gaps in the dataset while minimizing bias. This improves the quality of input data, allowing the AI model to generate more accurate and reliable financial forecasts.
Which of the following BEST describes the role of risk documentation in an AI governance program?
Risk documentation in AI governance provides evidence that the organization systematically identifies, assesses, and manages AI-related risks. This transparency supports compliance with regulatory requirements, ethical standards, and stakeholder expectations, reinforcing trust in the organization’s AI practices.
Which of the following AI system vulnerabilities is MOST easily exploited by adversaries?
Weak access controls provide adversaries with a direct and relatively easy avenue to manipulate, steal, or misuse the AI model. Controlling access is a fundamental security measure; without it, attackers can exploit the system regardless of other vulnerabilities.
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