C1000-185 practice question 3 of 35

You are developing a generative AI model using the IBM Watsonx platform to assist in customer service. While the model's responses are highly…

Domain Access Governance and Certification

You are developing a generative AI model using the IBM Watsonx platform to assist in customer service. While the model's responses are highly accurate, there is concern that the model may inadvertently expose personal information (PII) or sensitive data during interactions. As a responsible AI engineer, it is crucial to mitigate this risk. Which of the following is the most critical risk associated with the exposure of personal information in generative AI models?

Answer options

A: The model can unintentionally memorize and regurgitate personal information from the training data, leading to privacy violations. Correct answer

B: The model can generate outputs that are too general, failing to meet the specific needs of the user.

C: The model might produce content that doesn't align with the cultural preferences of the user.

D: The model can generate overly creative or non-factual responses, leading to brand reputation damage.

Correct Answer:

A. The model can unintentionally memorize and regurgitate personal information from the training data, leading to privacy violations.

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