Data Ethics, AI and Responsible Innovation
Understand and articulate the critical, social, legal, political and ethical issues arising throughout the data lifecycle. Understand relevant concepts, including: ethics/morality, responsibility, digital rights, data governance, human-data interaction, responsible research and innovation. Identify and assess current ethical issues in data science and industry. Apply professional critical judgement and reflexivity to moral problems with no clear solutions. Evaluate ethical issues you face in your current professional practice. Identify and apply ethically driven solutions to those issues.
Ewa Luger|Michael Rovatsos|Burkhard Schafer