As AI systems become more common and expand their abilities, the decisions they make have a crucial and lasting impact on society as a whole. It is of paramount importance that those in charge of designing such systems work toward ethical and responsible systems.

In this course, we cover the theoretical and practical aspects of Ethics applied to AI systems through case studies, practical application of theoretical concepts, and open discussions. The course is organized into three modules:

1. Responsibility of Engineers and Introduction to Normative Ethics
2. From Cognitive Bias to Algorithmic Bias
3. Responsibility, Robustness, Reproducibility