Academic Year/course:
2023/24
8071 - Advanced Master in Legal Sciences
32886 - Cyberlaw: from cyberspace to metaverse
Teaching Guide Information
Academic Course:
2023/24
Academic Center:
807 - Masters Centre of the Department of Law
Study:
8071 - Advanced Master in Legal Sciences
Subject:
32886 - Cyberlaw: from cyberspace to metaverse
Credits:
4.0
Course:
1
Teaching languages:
Teachers:
Migle Laukyte
Teaching Period:
First Quarter
Schedule:
Presentation
The course “Governance and Regulation of Artificial Intelligence” aims to
introduce the students with the latest developments and initiatives that regard
governance and regulation of Artificial Intelligence (AI) by the European Union,
United States of America and China. The course also advances students’
knowledge on a various concepts and ideas of AI-related terminology and enables
them to understand where the problems of AI governance and regulation lie and
how different models of AI governance fit within the legislative framework, what
other norms they affect and how, and helps to elaborate the questions that future
generations will have to ask so as to guide the AI development in a humancentered
manner.
This course also helps students to understand what kind of AI the private
companies are developing: during the course, we will look at different AI based
systems so as to understand what real life examples have inspired the legislators,
standard setters and other parties involved in these processes. The course also
helps students to understand how AI related to many other legally-relevant issues
as privacy and data protection and other human rights.
Associated skills
The students will develop and strengthen the following skills:
• Ability to analyze regulatory texts on AI;
• Identify the problematic issues of regulatory texts on AI;
• Be able to compare governance and regulatory initiatives of different
countries (comparative law);
• Earn knowledge on technical terms related to AI, such as machine
learning, deep learning, etc.;
• Be able to identify the most salient AI-related regulatory problems;
• Understand the trends of global governance of AI and be able to critically
assess their values and dynamics.
Learning outcomes
Students will be able to understand the state-of-the-art of AI governance and
regulation, its problems and possible solutions and also to increase their
knowledge not only about specific technologies, but also on available AI
applications and their problems.
Contents
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Class
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Content
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1.
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Cyberlaw and technologies of law. Conceptual differences. Focus on cyberlaw: what does it mean. Course overview. The importance of data.
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2.
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Internet
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3.
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Interactive group presentations on different issues related to cyberlaw of Internet.
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5.
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Artificial Intelligence (AI)
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6.
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Robotics/Internet of Things (IoT)
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7.
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Interactive group presentations on different issues related to cyberlaw of AI, robotics or IOT
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8
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Blockchain
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9.
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Metaverse
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10.
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Quantum computing
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11.
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Interactive group presentations on different issues related to cyberlaw of Blockchain, Metaverse, or Quantum Computing
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12.
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Final test
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Sustainable Development Goals
Objective 16: Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels.
Evaluation and grading system
Evaluation is divided into three parts:
• 20 percent attendance and participation in the class
• 40 percent of interactive group presentation
• 40 percent final test