Ethics and Regulation of Artificial Intelligence
Objectives
The course aims to introduce students to the doctrinal and policy discourses on ethical and regulatory frameworks of AI. The overarching goal is to make students familiar with the theoretical underpinnings of such debate, its key legal references and most reliable sources, and engage in this timely discussion relying on relevant legislative and judicial information.
General characterization
Code
33257
Credits
4
Responsible teacher
Giulia Priora
Hours
Weekly - 2
Total - 24
Teaching language
English
Prerequisites
Available soon
Bibliography
Excerpts from Woodrow Barfield and Ugo Pagallo, Advanced Introduction to Law and Artificial Intelligence (Edward Elgar 2020); Larry DiMatteo et al (eds), The Cambridge Handbook on Artificial Intelligence. Global Perspectives in Law and Ethics (Cambridge University Press 2022); Hans Micklitz et al, Constitutional Challenges in the Algorithmic Society (Cambridge University Press 2021); Martin Ebers et al, Contracting and and Contract Law in the Age of Artificial Intelligence (Hart 2022).
Teaching method
Lectures; peer presentations; moderated in-class discussions.
Evaluation method
The assessment will be based either on a take-home essay assignment or a final exam. Each option will count 100% of the final grade.
- CONTINUOUS ASSESSMENT: CLASS PRESENTATION + ESSAY (100%)
Students can decide to deliver a 15-minute-long class presentation on one of the selected topics. One week after the class presentation, students will have to upload an individual essay of maximum 3000 words (footnotes included) on the same topic.
- FINAL EXAM (100%)
Students can decide to sit on a 2-hour-long, open-book, questions-based final exam.
All assignments and exams will be checked for plagiarism. Where this is detected, a fail grade will be awarded. Students who fail the exam will be offered the possibility to re-take it. Students with special needs (e.g., medical needs, visual impairments or disabilities, maternity needs) are encouraged to reach out to Prof. Giulia at the beginning of the course to arrange together a fitting assessment method.
Subject matter
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Session 1: Introduction: why ethics and why law? |
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Session 2: Legal definitions of robots and algorithms |
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Session 3: Consent in AI |
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Session 4: Bias and discrimination in AI |
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Session 5: Harm in AI |
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Session 6: Benefit in AI |
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Session 7: Automation in the education sector |
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Session 8: Automation in the mobility sector |
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Session 9: Automation in the health sector |
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Session 10: Automation in the creative sectors |
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Session 11: Automation in the judicial system |
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Session 12: Q&A discussion |