Master AI Ethics and Responsible AI in 4 weeks through hands-on, project-based online training with DSTC.
Data Science & Analytics
Module-by-module breakdown of AI Ethics and Responsible AI, from foundations to a certified capstone project.
Outline
What is AI Ethics? β’ Why Responsible AI Matters β’ Impact of AI on Society β’ Examples of Ethical and Unethical AI Use
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Understanding Bias in AI Systems β’ Fairness in Decision-Making β’ Transparency and Explainability β’ Real-World Examples of AI Bias
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Data Privacy in AI Systems β’ Security Risks and Challenges β’ Accountability in AI Decision-Making β’ Regulations and Guidelines Overview
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Principles of Responsible AI β’ Ethical AI Design and Deployment β’ Human-Centered AI Systems β’ Limitations and Risks of AI
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AI Ethics in Healthcare, Finance, and Technology β’ Global Trends in AI Governance β’ Careers and Learning Pathways in Responsible AI β’ Mini Learning Activity / Concept-Based Practice
e-Certificate and e-Marksheet issued on successful completion.