Q92 — AWS AIF-C01 Ch.3

Question 92 of 100 | ← Chapter 3

A lending company is building an AI-powered generative solution to offer discounts to loan applicants based on specific business criteria. The company wants to build and use AI models responsibly, minimizing 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 Gisting evaluation of foundational research (ROUGE) techniques to ensure 100% model accuracy.
• E. Ensure model inference time remains within acceptable limits.

Correct Answer: A. Detect imbalances or disparities in the data., C. Evaluate model behavior to provide transparency to stakeholders.

Explanation

This question tests responsible AI practices for a lending company. Detecting imbalances or disparities in data helps identify potential sources of bias. Evaluating model behavior to provide transparency supports oversight and improvement. Running the model frequently does not inherently reduce bias; ROUGE techniques cannot guarantee 100% accuracy; and inference latency is unrelated to bias mitigation.