An organization is assessing the risks of using a foundation model fine-tuned on proprietary data for customer interactions. Which emerging risk is MOST specific to fine-tuned models compared to using the base foundation model?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — a is correct because fine-tuning on proprietary data increases the risk that the model memorizes sensitive information from the fine-tuning dataset — which can then be extracted through targeted queries or surface unexpectedly in responses, creating data exposure risk specific to the fine-tuning process. B is not universally true.
Full explanation below image
Full Explanation
A is correct because fine-tuning on proprietary data increases the risk that the model memorizes sensitive information from the fine-tuning dataset — which can then be extracted through targeted queries or surface unexpectedly in responses, creating data exposure risk specific to the fine-tuning process. B is not universally true. C is not an inherent limitation. D is incorrect — fine-tuned models remain within EU AI Act scope.