Responsible AI, Law, Ethics & Society
The deployment of AI systems in multiple domains of society raises fundamental challenges and concerns, such as accountability, liability, fairness, transparency and privacy. The dynamic nature of AI systems requires a new set of skills informed by ethics, law, and policy to be applied throughout the life cycle of such systems: design, development and deployment. Tackling these challenges calls for an interdisciplinary approach: deconstructing these issues by discipline and reconstructing with an integrated mindset, principles and practices. Students will work in teams on joint tasks devoted to a distinct legal or ethical question working on real-world legal challenges in a case-study format.
Topics
- Identify legal and ethical issues and scan for unintended consequences and potential harms of AI. Demonstrate understanding of the impact of AI on individuals, groups, society and humanity. Demonstrate introductory knowledge and skills to oversee AI systems and provide basic legal analysis to its functioning. Apply knowledge towards first steps in the industry, while shaping their responsibility as professionals.
Official catalogue course objectives and student learning outcomes
Sources
- Course catalogue ↗2026-2027