From the course: AWS Certified Machine Learning Engineer - Associate (MLA-C02) Cert Prep

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SageMaker Clarify

SageMaker Clarify

From the course: AWS Certified Machine Learning Engineer - Associate (MLA-C02) Cert Prep

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SageMaker Clarify

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What if your AI system accidentally discriminates against certain groups? What if you can't explain why your model made a specific decision to stakeholders or regulators? Imagine TutorialStojo's Course Recommendation AI consistently suggests fewer advanced courses to certain demographic groups, or your Fraud Detection Model flags transactions based on unintended biases. These aren't just technical problems, they're ethical and business risks. In this lecture, we'll explore Amazon SageMaker Clarify, your tool for building transparent, fair, and explainable machine learning models. I'll show you how Clarify helps detect bias, explain model predictions, and build trust in your AI systems. We'll cover bias detection, model explainability, and how to integrate these practices into your ML workflow. So what is Amazon SageMaker Clarify? SageMaker Clarify is your AI ethics and explainability toolkit. It helps you understand what your models are doing and ensures they're making fair decisions…

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