Global Certificate in Responsible AI and Machine Learning
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โข Introduction to Responsible AI: Overview of AI ethics, bias, and fairness
โข Responsible Data Practices: Data collection, privacy, and security
โข Bias and Fairness in Machine Learning: Understanding and mitigating algorithmic bias
โข Explainable AI: Transparent and interpretable models
โข Responsible AI Design: Human-centered AI and value alignment
โข AI Governance and Compliance: Legal, regulatory, and ethical considerations
โข Responsible AI in Action: Real-world case studies and applications
โข Continuous Learning in Responsible AI: Staying up-to-date with emerging issues and best practices
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