Course Content

Please note that these lists are provisional and subject to change according to the availability of teaching staff

Introduction to the Ethics of AI, Data and Algorithms:

•  The historical development of ADA and their relation to other disciplines and technologies, including algorithms and data in computer science and administration.
•  Technological foundations and capabilities of current ADA technologies, including comparisons with the capabilities of human and non-human animals.
• The relation between ADA technologies and pre-existing structures of oppression and injustice (e.g. racism, sexism, colonialism, ageism, etc).
•  Core ethical challenges in current and near-future technologies (e.g. bias and fairness, opacity, accountability, autonomy, privacy).
•  Foresight and mitigation of risks posed by potentially transformative future technologies.
•  Design and technical approaches to creating ethical technology.
•  Discourse of AI within culture and popular media.
•  Current AI governance initiatives (principles, regulation, codes of practice, design codes).

Elective modules:

• Technical and philosophical approaches to explainable AI
• Can machines suffer?
• The ethics and politics of algorithmic bias
•  Scientific racism: past and future
• Cross-cultural comparison of the ethics and discourse of AI
•  The implications and implementation of the EU AI Act
• Superintelligence: Will it happen and what would it mean?
•  Value-sensitive design & critical design theory
•  Autonomous weapons and international law
• Ethical challenges of data & AI in healthcare