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AI, Law, and Policy
Last Updated: 2026-06-03 00:14:14
Abstract
This course introduces students to societal perspectives on the artificial intelligence revolution. Discussing important contributions from machine learning and data science, the course explores their legal, economic, ethical, and political implications in the past, present, and future.
Objective
This course is intended both for students of machine learning and data science who want to reflect on the societal implications of their field, and for students from other disciplines who want to explore the societal impact of artificial intelligence. The course will discuss research papers and real-world applications where artificial intelligence and societal values may clash. Potential topics include the implications of artificial intelligence for privacy, intellectual property, liability, insurance, health systems, automated decisionmaking, voting, markets, and democratic institutions. Guest speakers, weekly readings, and reaction papers ensure a lively debate among participants from various backgrounds.
General Information
- Language
- English
- Levels
- DS , MSC
- Frequency
- Yearly recurring
Examination
- Type
- graded semester performance
Registration & Places
- Signup End
- 22.02.2026
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| seminar |
AI, Law, and Policy
Permission from lecturers required for all students.
|
|
2 h weekly |
Offered In
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Science in Perspective (In “Science in Perspective”-courses students learn to reflect on ETH’s STEM subjects from the perspective of humanities, political and social sciences. Only the courses listed below will be recognized as "Science in Perspective" courses.)
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Type A: Enhancement of Reflection Competence (SiP courses are recommended for bachelor students after their first-year examination and for all master- or doctoral students. All SiP courses are listed in Type A. Courses listed under Type B are only recommendations for enrollment for specific departments.)
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Type B: Reflection About Subject-Specific Methods and Contents (Subject-specific courses. Particularly relevant for students interested in those subjects. All these courses are also listed under the category “Typ A”, and every student can enroll in these courses.)
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