In this summer school, students will gain a better understanding of the concepts of legal technology and responsible artificial intelligence. More specifically:
- Students with no background in computing, will learn the basic principles of programming. Students with no background in law, will learn the basic principles for the legal use of technology.
- Next, the course includes a description of how predictive algorithms work and unintentionally may pick up biases, including by reference to several practical examples of the use of predictive algorithms in business, customer and legal services.
- On this basis, students will be introduced to the ethical and legal requirements for the responsible use of technology in general, and predictive algorithms in particular.
- Professionals active in the field of legal technology and responsible artificial intelligence will provide students with insights from practice.
The summer school ends with a Legal Tech Game. Students who successfully pass this test, will receive a certificate of completion.
Target group
This summer school is designed for master students with an interest in law and technology. No prior legal or technical knowledge is required.
Campus
This summer school takes place at Stadscampus (Prinsstraat 13, 2000 Antwerp) of the University of Antwerp. This campus is located in the city centre.
Micro-credential and study credits (ECTS)
Successful completion of the summer school can be awarded with 3 credits according the European Credit Transfer System (ECTS). Credits will be awarded by the University of Antwerp based on:
- preparatory readings and excercices
- 100 % (active) participation during the course, including preparing and presenting coding excercises and excercises in legal design
- succesfull participation of the legal tech game at the end of the course.
To include the credits in the curriculum at the home institution, participants need an agreement with the responsible person at their university. Students of the University of Antwerp eligible to include the ECTS credits as part of their study programme must register via Mobility Online and SisA.
All certificates of completion are issued as a micro-credential. Participants who attend the scheduled course contact hours, but don't complete the tasks will receive a certificate of attendance.
Learning outcomes
- Understanding of the opportunities and the challenges of the use of technology in business, customer and legal services (comprehension).
- Ability to explain the basic principles of predictive algorithms and the risks they pose in terms of bias (knowledge).
- Understanding of the ethical and legal requirements for the responsible use of technology in business, customer and legal services (comprehension).
- Ability to explain the basic principles of responsible artificial intelligence (knowledge).