Question

A bank's data science team already uses a model that scores incoming credit card transactions and flags each one as 'fraudulent' or 'legitimate' based on historical labeled data. A business leader now asks whether generative AI would be a better fit for this exact task. What is the most accurate response?

Accepted Answer

The current fraud-flagging task is a classification problem best served by traditional predictive ML, since it assigns transactions to predefined categories rather than creating new content.

Answer

Generative AI is always superior because it is a newer technology and can replace any predictive model with better accuracy.

Answer

Generative AI should be used because it does not require any training data, unlike predictive ML.

Answer

The task should switch to generative AI because generative models produce category labels more efficiently than classifiers.