• 9h00 – 9h10 : Welcome and introduction
  • 9h10 – 10h10: (Keynote) Luis Galárraga : Interpretability in classifiers: Hybrid techniques based on black-box classifers and interpretable control modules. [Slides]
  • 10h10 – 10h30 : Adrien Bibal, Bruno Dumas and Benoît Frénay : User-Based Experiment Guidelines for Measuring Interpretability in Machine Learning. [Slides]
  • 10h30 – 11h00 : Coffee break
  • 11h – 11h20 : Philippe Besnard, Thomas Guyet and Véronique Masson : Admissible Generalizations of Examples as Rules. [Slides]
  • 11h20 – 11h40 : Etienne Houzé, Ada Diaconescu, Jean-Louis Dessalles and David Menga : Explainable AI as Interface between Users and Autonomic Systems : the Case of the Smart Home. [Slides]
  • 11h40 – 12h00 : Théo Jaunet, Romain Vuillemot and Wolf Christian : RDRLMViz: Visual Analytics for Recurrent Deep Reinforcement Learning Models
  • 12h00 – 12h30 : Feedback from workshop participants and conclusion

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