2. Full lectures list

  1. Computable law: introduction: the 3 waves
  2. AI: logic and knowledge representation
  3. AI: statistics and machine learning
  4. Legal Issues of AI: consumer protection
  5. Legal issues of AI: discrimination and algorithmic decision making
  6. Legal issues of AI: privacy, data protection and profiling
  7. Legal Issues of AI: robot crimes
  8. Man-made models of the law and legal reasoning: introduction
  9. Formal legal ontologies
  10. Models of legal norms: legal logic and rules
  11. Case based reasoning
  12. Legal argumentation
  13. Man-made models of the law and legal reasoning: case studies
  14. AI and Law approaches based on big data and machine learning
  15. Machine learning and text analytics
  16. AI and ML: case studies
  17. Predictive justice and algorithmic decision making
  18. Legal issues of autonomous systems: automation in socio-technical systems, task-responsibilities, liability
  19. Case study: aviation and air traffic management
  20. Case study: autonomous driving
  21. Case study: health care
  22. Case study: robots
  23. Case study: autonomous agents
  24. Final lecture – exam simulation

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