Applications of Foundation Models III
Understand practical applications of foundation models in AWS AI services while addressing regulatory compliance, bias detection, language translation, and human-in-the-loop reinforcement learning. This lesson guides you through real-world scenarios and AWS tools to create safe, accessible, and fair AI solutions.
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Question 39
A financial services company is integrating a generative AI chatbot into its customer support system. In the financial services sector, where regulatory requirements are stringent, and compliance and safety are critical, it is essential that any AI-driven customer support system meets these standards. To protect both customers and the company, the company wants to ensure that its chatbot provides accurate responses, adheres to legal and safety requirements, and avoids generating potentially harmful or inappropriate content.
Which approach should the company implement to ensure accurate, compliant, and safe responses?
A. Use guardrails that restrict the chatbot’s ability to generate responses outside a predefined set of acceptable topics.
B. Allow the chatbot to freely generate responses, but implement a human review process for sensitive ...