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4.1.2. Tools for Responsible AI on AWS (SageMaker Clarify, Guardrails for Amazon Bedrock)

First Principle: AWS provides specific tools designed to help developers implement Responsible AI principles, making it easier to detect bias, explain predictions, and enforce safety policies.

AWS operationalizes Responsible AI by providing concrete services and features.

  • For Traditional ML - Amazon SageMaker Clarify:
    • Purpose: Helps improve model transparency by detecting potential bias and explaining how models make predictions.
    • Key Features:
      • Bias Detection: Measures your data and model for statistical biases before and after training. For example, it can tell you if your model performs better for one demographic group than another.
      • Explainability: Explains why your model made a certain prediction by showing which input features were most influential.
  • For Generative AI - Guardrails for Amazon Bedrock:
    • Purpose: A safety feature that allows you to implement policies to control the types of content your generative AI application will generate. It acts as a safety wrapper around a Foundation Model.
    • Key Features:
      • Denied Topics: Define specific topics that you want to prevent the application from discussing (e.g., financial advice, medical diagnoses).
      • Content Filters: Configure thresholds to filter out harmful content across categories like hate speech, insults, and violence.
      • Filtered Word-lists: Block specific keywords from appearing in prompts or responses.
      • Personally Identifiable Information (PII) Redaction: Can identify and remove PII from the conversation.

Scenario: A company is deploying a generative AI chatbot for public use and is concerned that users might prompt it to generate harmful content.

Reflection Question: How would the company use Guardrails for Amazon Bedrock to set up content filters and denied topics as a critical safety measure before releasing the chatbot?

šŸ’” Tip: Use SageMaker Clarify for deep analysis of your custom-trained traditional ML models. Use Guardrails for Amazon Bedrock for real-time safety enforcement on your generative AI applications.