AWS Certified AI Practitioner (AIF-C01) — Question 343
A financial company uses a generative AI model to assign credit limits to new customers. The company wants to make the decision-making process of the model more transparent to its customers.
Which solution meets these requirements?
Answer options
- A. Use a rule-based system instead of an ML model.
- B. Apply explainable AI techniques to show customers which factors influenced the model’s decision.
- C. Develop an interactive UI for customers and provide clear technical explanations about the system.
- D. Increase the accuracy of the model to reduce the need for transparency.
Correct answer: B
Explanation
Explainable AI (XAI) techniques are specifically designed to make the decisions of complex machine learning models understandable to human users by identifying key influencing factors. Replacing the model with rule-based systems or solely improving accuracy does not address the transparency of the generative AI model itself. Providing technical documentation or UI changes also fails to explain the specific logic behind an individual credit limit decision.