An AI healthcare diagnostic tool requires large volumes of patient data, raising concerns about privacy and data breaches. Which of the following is the MOST effective strategy to mitigate this risk?
Answer(s): D
Using synthetic or anonymized data minimizes the exposure of identifiable patient information while still allowing the model to be trained effectively. This approach most effectively reduces privacy and breach risks compared to securing transmission or limiting data sources.
Which of the following is MOST important to consider when evaluating ethical risk related to data used for training an AI model?
Answer(s): B
Ethical risk is primarily driven by the sensitivity and origin of training data, as these factors determine whether the data was collected appropriately, used with consent, and processed in a way that avoids harm, discrimination, or privacy violations.
Which of the following is the GREATEST concern when an audit team relies on generative AI to create audit reports?
Generative AI can produce hallucinations — fabricated or incorrect statements — which can lead to inaccurate audit reports. This poses the greatest concern because it directly compromises the reliability and integrity of the audit’s conclusions.
Which of the following is the MOST important reason to conduct regular threat modeling exercises for AI systems and data?
Answer(s): A
Threat modeling enables proactive identification of vulnerabilities specific to AI systems and their data flows, allowing organizations to address security risks before they are exploited. This directly strengthens AI governance and risk management.
Which of the following is the MOST important reason for applying regular software updates to AI systems operating in high-risk environments?
Regular software updates are essential in high-risk AI environments because they address security vulnerabilities and protect the system from attacks that could compromise output integrity. Ensuring the reliability and trustworthiness of AI outputs is the primary governance concern.
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