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).
- 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