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Guidelines for Responsible AI II

Explore the importance of dataset diversity and bias monitoring in responsible AI development. Understand how tools like SageMaker Clarify and Guardrails ensure ethical AI practices. This lesson helps you grasp the challenges and solutions in deploying trustworthy AI models.

Question 53

Why is dataset diversity important in responsible AI development?

A. To reduce overfitting

B. To ensure inclusivity across demographic groups

C. To minimize ...