Q3 — AWS AIF-C01 Ch.2

Question 3 of 100 | ← Chapter 2

A lending company is building a generative AI–based solution to offer personalized discounts to loan applicants based on specific eligibility criteria. The company wants to build and use the AI model responsibly and minimize potential bias that could negatively impact certain customers. Which actions should the company take to meet these requirements? (Choose two.)

• A. Detect imbalances or disparities in the data.
• B. Ensure the model runs frequently.
• C. Evaluate model behavior to provide transparency to stakeholders. ✓
• D. Use Recall-Oriented Understudy for Gisting Evaluation (ROUGE) to ensure the model achieves 100% accuracy.
• E. Ensure inference latency remains within acceptable limits.

Correct Answer: C. Evaluate model behavior to provide transparency to stakeholders.

Explanation

To build a responsible generative AI solution, the lending company must proactively mitigate bias. First, detecting data imbalances or disparities (Option A) is essential—biased or unrepresentative training data can lead to discriminatory outcomes. Second, evaluating model behavior and providing transparency to stakeholders (Option C) supports accountability, helps explain decisions, and builds trust with customers and regulators. Options B, D, and E relate to operational performance or evaluation metrics but do not directly address fairness or bias mitigation.