Project Description

FinTech, Blockchain, Artificial Intelligence and the Law

Module content

  • Get an introduction into blockchain technology and data protection law
  • Study AI credit scoring and anti-discrimination law, copyright regulation of sharing platforms and regulatory framework for virtual currencies
  • Learn about fintech, government, and society
  • Discuss AI and the end(s) of criminal justice
  • Programme – The course is taught in English (4 ECTS)
  • Requirements – At least one year of studies in the field of Law
  • Programme fee – tba. (includes all study materials, transcript of records and health, liability and accident insurance as well as a public transportation ticket within Frankfurt).
  • Deadline for applications – tba.

Course description

Digital technology has developed rapidly in recent years and is currently revolutionising the financial sector. The development and use of technical innovations poses new challenges to the various fields of law and raises specific legal issues. This class aims at introducing the students to a number of legal questions around FinTech, „big data“ and artificial intelligence. We combine some technical background with the most salient legal issues. Among these we count Data Protection, Copyright Law, Criminal Law, Anti-Discrimination, Banking Regulation and the Impact on Government and Society. The class will comprise lectures, group works and exercises.

Course topics

  • Introduction into Blockchain Technology
  • AI Credit Scoring and Anti-Discrimination law
  • Copyright Regulation of Sharing Platforms
  • Regulatory Framework for Virtual Currencies
  • Fintech, Government, and Society
  • Introduction to Data Protection Law
  • AI and the end(s) of Criminal Justice

The course comprises 28 contact hours (8*3.5 hours). Upon successful completion, 4 ECTS (European Credit Transfer System) points will be awarded for the module. A single ECTS point is defined as the equivalent of 25 to 30 hours of student workload. This includes class hours, additional preparations for class activities, readings, assignments as well as final assessments.

Attendance: Participants have to attend at least 80 % of the classes.