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AI Ethics & Responsible AI

Bias, fairness, transparency, and responsible AI practices.

Course Duration: 6 hours​

What You'll Learn​

  • AI bias and fairness
  • Explainability (XAI)
  • Privacy concerns
  • Regulations and compliance
  • Ethical AI development
  • AI safety

Prerequisites​

  • General AI understanding

Course Modules​

  1. Introduction to AI Ethics
  2. Types of AI Bias
  3. Fairness Metrics
  4. Detecting Bias in Data
  5. Mitigating Bias
  6. Explainable AI (XAI)
  7. LIME and SHAP
  8. Privacy and Data Protection
  9. GDPR and AI Regulations
  10. EU AI Act
  11. Responsible AI Frameworks
  12. Case Studies

Topics Covered​

  • Algorithmic fairness
  • Model interpretability
  • Data privacy
  • AI governance
  • Safety and alignment