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Responsible AI, Risk & Governance
A practical, rigorous course on building and deploying AI systems that are fair, safe, and legally compliant — covering bias, privacy, the EU AI Act, and governance frameworks every practitioner needs.
4 sections·12 lessons
What you'll learn
1. Understanding AI Bias & Fairness
- What Is AI Bias — And Why Does It Matter?
- Visualizing Bias in the Data Pipeline
- Fairness Metrics & Mitigation Techniques
2. AI Safety & Privacy
- Defining AI Safety: From Bugs to Catastrophic Risk
- Privacy by Design in AI Systems
- How Differential Privacy Shields Individuals
3. The EU AI Act & Global Regulation
- The EU AI Act: A Risk-Based Framework
- Global AI Governance Landscape
- The EU AI Act Risk Pyramid
4. Responsible Deployment & Governance
- Building an AI Governance Framework
- Responsible AI: Knowledge Check
- Responsible Deployment Checklist
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