Bachelor 2021/2022

Foundations of Law

Type: Compulsory course

Area of studies: Applied Mathematics and Information Science

Delivered by: Big Data and Information Retrieval School

Where: Faculty of Computer Science

When: 1 year, 1, 2 module

Mode of studies: distance learning

Online hours: 50

Open to: students of one campus

Instructors: Valeria Bozhenova, Mikhail Zhuravlev

Language: English

ECTS credits: 4

Contact hours: 30

Course Syllabus

Abstract

This course introduces students to the basics of law theory, which enables comprehensive understanding of the role of law as a social regulator in the era of digital transformation. It also explores the relationship between law and technology with a strong focus on the law of the Russian Federation, European Union and the United States.

Learning Objectives

• Students will learn fundamentals of the theory of law, general legal challenges of IT sphere, privacy as legal concept, main legal acts regulating data protection, IP issues in the digital era, legal status of AI

Expected Learning Outcomes

• Students know basic principles of law theory, tendencies of law development in the digital era, tendencies of IP law regulation
• Students know basic principles of law theory, tendencies of law development in the digital era, tendencies of IP law regulation

Course Contents

• The Essence of Law
• Lawmaking and Law Enforcement
• Law and the Internet
• Basics of Information Law
• Personal Data
• Introduction to Intellectual Property Law
• Copyright
• Law and Artificial Intelligence

Assessment Elements

• Final Exam Test
  The test may be carried out online via distance learning platforms.
• grade for accomplishment of online-course “Privacy Law and Data Protection”
• grade for accomplishment of online-course “Introduction to Intellectual Property”
• grade for activity at seminars (oral answers, reports)

Interim Assessment

• 2021/2022 2nd module
  0.15 * grade for accomplishment of online-course “Privacy Law and Data Protection” + 0.5 * Final Exam Test + 0.2 * grade for activity at seminars (oral answers, reports) + 0.15 * grade for accomplishment of online-course “Introduction to Intellectual Property”

Bibliography

Recommended Core Bibliography

• Wachter, S., Mittelstadt, B., & Russell, C. (2020). Why Fairness Cannot Be Automated: Bridging the Gap Between EU Non-Discrimination Law and AI. https://doi.org/10.2139/ssrn.3547922

Recommended Additional Bibliography

• Eliot, L. (2020). Turing Test and the Practice of Law: The Role of Autonomous Levels of AI Legal Reasoning.