Ethical and legal considerations are essential to many applications of data science.
This colloquium series is intended to make the students aware of such considerations and to give them the vocabulary to discuss those matters with experts of legal and ethical aspects.
Furthermore, the colloquium will enable students to develop an understanding of professional integrity and provides them with applicable practices for conducting responsible data science.
Students develop an understanding for the ethical concerns of data science. They recognize how data and data practices, machine learning and their implementation into business models or public administration is related to societal values. Students identify various ethical challenges raised through current data practices and their application in society.
Students will identify different layers of responsibility for designing data science applications, applying them in societal contexts and regulating them. They are familiar with case examples of best and worse practices, and texts addressing ethical, legal, political and social concerns of data science.