Бакалавриат
2025/2026
Глобальное управление искусственным интеллектом: сравнительный анализ подходов к регулированию
Статус:
Курс по выбору (Юриспруденция)
Кто читает:
Департамент международного права
Когда читается:
5-й курс, 1 модуль
Охват аудитории:
для своего кампуса
Преподаватели:
Мазетова Елена Анатольевна
Язык:
английский
Контактные часы:
20
Course Syllabus
Abstract
Recent times are characterized by rapid development and widespread implementation of Artificial Intelligence (AI) systems – a disruptive technology that is promised to be the greatest game changer of our time for literally each and every industry and life aspect. The revolutionary nature of AI and its great potential led to a serious concern regarding risks that may be brought to life by this technology, so the question of proper regulation enabling eliminating such risks and, at the same time not preventing positive development, became very topical. Intensive work on developing AI regulation is currently underway both at the international and at the country-by-country level. Meanwhile, the spectrum of regulatory approaches is wide, from assumption that no regulation is needed on the current (presumably early) stage of the technology existence, and ending by introduction of laws targeting AI specifically, which fosters further reflection and analysis. In August, 2024, UNESCO published a consultation paper on AI regulation, where at least nine different regulatory approaches for AI were introduced and feedback was invited. This can be seen as a logical continuation of the current trends.
Suggested course will focus on comparative analysis of existing regulatory approaches adopted in different jurisdictions and detailed analysis of international regulatory initiatives, with a view to reflect on effectiveness and capacity of existing regulation to respond to the major legal challenges that are typically associated with AI.
Learning Objectives
- The main purpose of the course is to get comprehensive understanding of both: challenges for traditional legal concepts related to the AI appearance, as well as the policy and regulatory initiatives adopted across the globe to address such challenges. As a result of this course, students should be able to make comprehensive and critical analysis of the relevant laws and regulations, court decisions and doctrinal sources, discuss various regulatory strategies and suggest practical legal advice regarding risks and challenges of new technologies regulation.
Expected Learning Outcomes
- Students are applying proper legal research methods, including comparative legal analysis and other relevant methods
- Students freely navigate in various legal issues and debates concerning legal risks of AI and existing regulatory approaches designed to address relevant risks
- Students are drafting accurate and comprehensive analytical materials dedicated to complex topics of AI risks and regulation
- Students are using specific terms and sources governing AI and related legal matters.
- Students researching and analysing judicial decisions and legal doctrine
- Students are suggesting well-grounded legal solutions to practical cases, developing and defending legal position on various complex legal questions arising out of AI application in different fields
- Students have complete knowledge and understanding of the following: legal sources related to AI regulation; including international level of regulation, as well as key national laws adopted in relevant jurisdictions; main approaches to the AI regulation applied in different jurisdictions
- Students have complete knowledge and understanding of the following: key legal issues and risks associated with AI; most recent case law covering different aspects of AI application.
- Students work excellent with information: conducting legal research, analyzing, properly applying cases and doctrine to practical legal problems
- Students demonstrate excellent drafting skills (accurate word count, clear structure of the document, answers are relevant to the topic of assignment)
- Students’ analysis and research paper are based on comparison of different regulatory approaches, include analysis of the relevant case law, contain analysis of various debating doctrines and concepts
Assessment Elements
- Classroom-based work and attendanceAttendance is important and it is mandatory. Classroom discussions are a key part of this course. Students should arrive on time. If participants of the course are late for more than 20 minutes, attendance will not be counted. The lecturer sends a list of required and recommended reading materials for each class in advance. Students are required to do their own research using the library and electronic resources. In general, participants of the course are expected to read about 100 pages a week for the Project seminar. Classes will be structured as participative workshops in order to stimulate class discussion. Students are expected to read the materials indicated prior to each class. • use of interactive educational technologies • problem-based lectures based on the Socratic method • work in small groups • extensive home-reading.
- Written assignmentsDuring the course each student will be required to prepare and submit two Written Assignments
- Final examThe final exam will be taken in written form and will require a reply to one theoretical question and a short essay (not exceeding 1 000 words in total) on a given subject.
- Participation in group discussionAttendance is important and it is mandatory. Classroom discussions are a key part of this course. Students should arrive on time. If participants of the course are late for more than 20 minutes, attendance will not be counted.
Interim Assessment
- 2025/2026 1st module0.1 * Classroom-based work and attendance + 0.5 * Final exam + 0.2 * Participation in group discussion + 0.2 * Written assignments
