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?
Select an option, then click Submit answer.
Reference / correct answer:
Apply explainable AI techniques to show customers which factors influenced the model’s decision.
Most accepted answer: B. Apply explainable AI techniques to show customers which factors influenced the model’s decision.
Community votes: B=3
Selected Answer: B When the requirement mentions: - Transparency - Explainability - Understanding model decisions - Regulatory compliance Think Explainable AI (XAI) techniques such as feature importance and Shapley values. upvoted 1 times
Selected Answer: B The company wants to make the decision-making process transparent. This is exactly what Explainable AI (XAI) is for. upvoted 1 times
Selected Answer: B The correct answer is B. Apply explainable AI techniques to show customers which factors influenced the model's decision. Explainable AI (XAI) directly addresses the transparency requirement by: • Identifying which input factors (income, credit history, debt-to-income ratio) most influenced the credit limit decision • Providing feature importance scores or explanations • Showing customers why they received a specific credit limit • Meeting regulatory requirements for financial decision transparency (like FCRA adverse action notices) upvoted 2 times