Back to ListAI Ethics and Governance
Level
Intermediate, Specialised, Theory, Methodological
This topic concerns AI ethics and regulation from a legal and philosophical perspective. The demands, aspects and implications of Trustworthy AI are also covered.
Learning outcomes
Content /Knowledge
Students should be able to:
- Understand/describe current discourse on AI autonomy, personhood, safety, liability and security, as well as related regulations, their enforcement and oversight.
- Comprehend Dual Use issues, compare EU with non-EU perspectives, as well as clearly articulate the principles, aspects and implications of Trustworthy AI.
- Understand/describe current discourse on specific relevant case studies (e.g., fake media, fake news, autonomous systems safety, etc.).
Methodologicalskills
Students should be able to:
- Apply their critical and analytical faculties on specific case studies, in order to argue about the need and content of potential AI regulations, as well as to detect possible dangers (to individuals and to the society) from unregulated AI.
- Clearly argue about how specific AI regulations can/should balance competing concerns (individual liberties, societal good, technical efficiency and economic competitiveness), given the current level of technological progress and potential near-future advances.
Transferrable/Application
Students should be able to:
- Work effectively with others in an interdisciplinary and/or international team.
- Clearly and succinctly communicate their ideas to technical and non-technical audiences.
