The purpose of the course is to reflect and discuss the social and ethical aspects that specifically arise around the topics of the master theses of the participants.After successful completion of the course, students will be able to recognize the relations between technical, social and ethical issues and to implement principles of responsible research and innovation in their master theses.

The course will be strongly oriented at the topics of the master theses of the students and the respective progress. Teaching methods include: short inputs by the lecturer, short presentations by the students (on the master thesis and respective social and ethical aspects), group discussion, and written reflection.

The specific contents strongly depend on the topics of the master theses. In general the course will repeat and deepen the following themes:Social and ethical aspects of AI & cybersecurity (in relation to the concrete topics of the students)Conceptions of ethicsSocietal attitudes and perceptions, public technology discoursesPrinciples and strategies of responsible innovation

Contents of the course "Social, Ethical and Legal Dimensions of Artificial Intelligence and Cybersecurity"

active participation in group discussionsshort presentations in classwritten reflection (preferably as achapter of the master thesis)

social and ethical aspects of the master thesis

The following elements will be relevant for the assessment:- active participation in group discussions (20%)- short presentations on the master thesis (20%)- written reflection on the master thesis, covering the most important ethical and societal issues and the implementation of RRI (60%)