Methods for Explainable AI

For appointments and rooms of lecture please consult the ZEuS of the Universität Konstanz. The exercise date and room can be found here.


The role of visualization in artificial intelligence (AI) gained significant attention in recent years. With the growing complexity of AI models, the critical need for understanding their inner-workings has increased. Visualization is potentially a powerful technique to fill such a critical need. The goal of this course is to build knowledge and intuition on how AI methods work by using interactive visualizations that we call "explainables" or "explorables". 

Qualified Students
Master students or PhD students


Credit requirements

Examination date
First date: TBA
Second date: TBA
Registration via ZeuS

Successful participation yields 6 ECTS.

Course Material

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