Description of the course

The course offers an introduction to AI systems that accounts for the presence of a human user in the loop. The main objective is to identify the necessity of adapting AI methods to the presence of human users and to provide an overview of existing methods, in particular: learning to defer, active learning, XAI, interactive machine learning, user modelling, inverse reinforcement learning, imitation learning, fairness, machine unlearning... 

Course organization

  • Lecturer: Prof. Dr. Pierre-Alexandre Murena
  • Language: English
  • Summer semester
  • 1.5 hour lecture / week
  • 1.5 hour Project-Based Learning (PBL) session / week