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Course Syllabus

Master 2022/2023

Cyber Law: Data, Ethics and Digital Property

Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Type: Elective course (Business Analytics and Big Data Systems)
Area of studies: Business Informatics
Delivered by: School of Digital Law and Bio-Law
Where: Graduate School of Business
When: 1 year, 3 module
Mode of studies: offline
Open to: students of all HSE University campuses
Instructors: Mikhail Zhuravlev
Master’s programme: Business Analytics and Big Data Systems
Language: English
ECTS credits: 3
Contact hours: 24

Course Syllabus

Full SyllabusAsk Question

Abstract

The course “Cyber Law: Data, Ethics and Digital Property” covers the basics of information technology and intellectual property law. The course addresses the issues of personal data protection, information and Internet law, copyright law in the digital environment. All the topics are considered not only from the point of Russian law, but also in a comparative legal context. Particular attention is paid to the ethical and legal aspects of machine learning and artificial intelligence, such as legal liability, legal grounds for data scraping, legal protection of AI-generated works, etc.
Learning Objectives

Learning Objectives

  • Students will learn general legal challenges of IT sphere, Internet law, privacy as legal concept, main legal acts regulating data protection, IP issues in the digital era, legal status and ethical aspects of AI
Expected Learning Outcomes

Expected Learning Outcomes

  • Understand the basics of Cyberlaw, Data Protection Law, Intellectual Property Law
  • Know the legal and ethical challenges of Artificial Intelligence
  • Apply the knowledge to practical cases
Course Contents

Course Contents

  • Basics of Cyberlaw
  • Personal Data Protection Law
  • Introduction to Intellectual Property Law
  • Copyright Law in the Digital Environment
  • Legal and Ethical Aspects of Artificial Intelligence
Assessment Elements

Assessment Elements

  • non-blocking Activity at classes
  • non-blocking Research report
  • non-blocking Exam test
Interim Assessment

Interim Assessment

  • 2022/2023 3rd module
    0.5 * Exam test + 0.25 * Research report + 0.25 * Activity at classes
Bibliography

Bibliography

Recommended Core Bibliography

  • Bygrave, L. A. (2017). Data Protection by Design and by Default : Deciphering the EU’s Legislative Requirements. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.3DE9A496
  • Caso, R., & Giovanella, F. (2015). Balancing Copyright Law in the Digital Age : Comparative Perspectives. Heidelberg [Germany]: Springer. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=909908
  • Research Handbook on the Law of Artificial Intelligence. Woodrow Barfield; Ugo Pagallo. Edward Elgar Publishing, 2018.

Recommended Additional Bibliography

  • Goldman, E. (2017). Internet Law: Cases & Materials (2017 Edition).
  • Spalevic, Z., Ilic, M., & Filipic, G. (2019). Legal and Economical Aspects of Intellectual Property in Cyber Space. Ekonomika, 65(2), 51–64. https://doi.org/10.5937/ekonomika1902051S

Authors

  • ZHURAVLEV MIKHAIL SERGEEVICH