AWS Certified AI Practitioner (AIF-C01) — Question 339
A financial company is developing a generative AI application for loan approval decisions. The company needs the application output to be responsible and fair.
Which solution meets these requirements?
Answer options
- A. Review the training data to check for biases. Include data from all demographics in the training data.
- B. Use a deep learning model with many hidden layers.
- C. Keep the model’s decision-making process a secret to protect proprietary algorithms.
- D. Continuously monitor the model’s performance on a static test dataset
Correct answer: A
Explanation
Ensuring fairness and mitigating bias in AI-driven financial decisions requires auditing the training data to ensure it is diverse and representative of all demographic groups. Using highly complex models or keeping the decision-making process secret decreases transparency and explainability, which goes against responsible AI principles. Additionally, monitoring with a static dataset fails to capture real-world drift and evolving bias patterns over time.