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Lecturer(s)
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Andraško Jozef, doc. JUDr. PhD.
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Bureš Pavel, JUDr. Ph.D.
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Kerikmäe Tanel, prof. Ing. Ph.D., LL.M.
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Course content
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- Legal regulation of artificial intelligence in a comparative perspective - Artificial intelligence and fundamental human rights and freedoms, ethical issues of artificial intelligence - issues of legal liability of artificial intelligence
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Learning activities and teaching methods
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Monologic Lecture(Interpretation, Training), Dialogic Lecture (Discussion, Dialog, Brainstorming)
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Learning outcomes
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This elective course, taught in English, is aimed at a deeper understanding of the legal aspects of artificial intelligence. So-called AI Law is increasingly being profiled as a distinct area of legal research. The aim is to offer students the opportunity for extended study of the subject, building on the general legal theory courses in the programme, but also the opportunity for interactive exploration of the issues in the form of case studies. The course will be organized into thematic blocks that will focus on the following problem areas: - Legal regulation of artificial intelligence in a comparative perspective - Artificial intelligence and fundamental human rights and freedoms, ethical issues of artificial intelligence - issues of legal liability of AI Upon completion of the course, students will be able to define and situate AI technologies within the broader framework of society. Artificial Intelligence has a profound impact on social, technological, economic and legal relations. Students will gain not only an understanding of the regulation and management of AI, but also the interdisciplinary knowledge needed to understand this technology. Graduates of the course will gain an understanding of the forthcoming regulation of AI at EU level and comparatively also in other jurisdictions. Attention will also be paid to issues affecting fundamental human rights and freedoms, legal personality and accountability from a broader perspective, and specific issues and principles of AI regulation such as justice and fairness (discrimination), transparency, governance and oversight of AI.
Upon completion of the course, students will be able to define and situate AI technologies within the broader framework of society. Students will gain not only an understanding of the regulation and management of AI, but also the interdisciplinary knowledge needed to understand the technology. Graduates of the course will gain an understanding of the forthcoming regulation of AI at EU level and comparatively in other jurisdictions.
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Prerequisites
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Completion of this course is not conditional on completion of other courses
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Assessment methods and criteria
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Student performance
Active student participation in lectures and written essays is required. Full-time students must attend at least 80% of the lectures, while combined students must attend 50% of the lectures and one individual consultation.
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Recommended literature
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BECKERS, A., TEUBNER, G. (2023). Three Liability Regimes for Artificial Intelligence - Algorithmic Actants, Hybrids, Crowds. Hart Publishing.
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CUSTERS, B., FOSCH-VILLARONGA, E., (eds.). (2022). Law and Artificial Intelligence. T.M.C. Asser Press.
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DIMATTEO, A., L., PONCIB?, Ch., CANNARSA, M., (eds.). (2022). The Cambridge Handbook of Artificial Intelligence - Global Perspectives on Law and Ethics. Cambridge University Press.
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DUBBER, D., M., PASQUALE, F., DAS, S., (eds.). (2021). Oxford Handbook of Ethics of AI. Oxford University Press.
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KERRIGAN, CH. (2022). Artificial Intelligence: Law and Regulation. Edward Elgar Publishing.
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LEGG, M., BELL, F. (2020). Artificial Intelligence and the Legal Profession. Hart Publishing.
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YEUNG, K., LODGE, M., (eds.). (2019). Algorithmic Regulation. Oxford University Press.
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