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Introduction to Responsible AI: Mitigate Bias and Toxicity in Generative AI Chatbots with Amazon Bedrock Guardrails

Learn how to use Amazon Bedrock’s Guardrails feature to screen out toxic topics and reduce bias when developing generative AI chatbot applications. Ensure responsible AI development practices.

Table of Contents

Question

A developer is using Amazon Bedrock to build an application that includes a generative artificial intelligence (generative AI) chatbot. They want to screen out toxic or offensive topics and mitigate bias in the responses.

Which feature of Amazon Bedrock helps with this?

A. Amazon Titan models
B. Knowledge bases for Amazon Bedrock
C. Agents for Amazon Bedrock
D. Guardrails for Amazon Bedrock

Answer

D. Guardrails for Amazon Bedrock

Explanation

Guardrails for Amazon Bedrock is a tool that evaluates user inputs and foundation model (FM) responses based on use-case-specific policies. This feature helps developers increase fairness and decrease bias. Developers can configure for denied topics, content filters, and blocked messaging.

Amazon Bedrock provides a feature called Guardrails that helps developers mitigate risks like toxicity and bias when building generative AI applications such as chatbots. Guardrails allow you to set boundaries and guidelines for the AI model’s output.

With Guardrails, you can:

  • Filter out toxic, offensive, explicit or inappropriate content
  • Reduce biased or unfair responses related to sensitive attributes like race, gender, religion, etc.
  • Enforce truth-seeking to avoid false or misleading information
  • Control the style and tone of the model’s language
  • Prevent disclosing private information

By configuring Guardrails based on your application’s requirements, you can help ensure your generative AI chatbot avoids problematic responses and better aligns with your values and the needs of your users. This promotes more responsible and ethical AI development practices.

The other options listed are useful Amazon Bedrock features but do not directly address content filtering and bias mitigation:

  • Amazon Titan models are large language models that power Amazon Bedrock
  • Knowledge bases allow ingesting domain-specific data to customize model knowledge
  • Agents enable conversational interactions and multi-step tasks

So in summary, Guardrails for Amazon Bedrock is the key feature that helps developers screen out toxic topics and reduce harmful biases when building generative AI chatbot applications. Proper use of Guardrails is an important responsible AI practice.

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