Align and monitor your Amazon Bedrock powered insurance assistance chatbot to responsible AI principles with AWS Audit Manager

This article discusses how to align and monitor an Amazon Bedrock-powered insurance assistance chatbot with responsible AI principles using AWS Audit Manager. It provides a comprehensive guide to evaluating generative AI applications across eight key principles.

• The AWS generative AI best practices framework enables auditing and monitoring of AI applications
• Key principles include accuracy, fairness, privacy, resilience, responsibility, safety, security, and sustainability
• The example uses an insurance claims chatbot built with Amazon Bedrock Agents
• Techniques for evaluation include:
  • Prompt benchmarking
  • Source verification
  • Error analysis
  • PII redaction using Guardrails
  • Logging model invocations
• AWS Audit Manager provides a structured approach to assess and document AI application trustworthiness

The framework helps organizations develop responsible, secure, and compliant generative AI applications across various industries.