ARTIFICIAL INTELLIGENCE AND LAW

course Content

Introduction to Artificial Intelligence (AI), concept, definitions

  • What is Big Data and what does it mean?
  • What are the categories of AI?
  • What does Machine Learning mean and what are its main distinctions?
  • What goals do different types of Machine Learning achieve?
  • Examples of AI applications
  • Projections for the use of AI in the future
  • The benefits and risks of using AI
  • The need for rules governing AI
  • The different approaches at international level
  • The characteristics of the EU approach
  • The ethical dilemmas posed by the use of AI
  • The basic ethical theories and their application to AI
  • The Ethical Guidelines for Trustworthy AI
  • Current legislative framework and developments
  • The existing regulatory framework
  • General Data Protection Regulation
  • Consumer Protection Law
  • Liability of the producer for defective products
  • NIS Directive
  • Intellectual Property Law
  • The AI Regulation
  • Substantive and territorial scope
  • Risk-based rating of AI systems and prohibited applications
  • Obligations governing High Risk and Medium Risk Systems
  • Obliged persons
  • Measures targeted at the development of innovation
  • Supervisory authorities and administrative sanctions