Assignment:

• Read eight articles in advance of the course based on eight selected “specialization topics” (announced at least a month in advance)
• Hand in a one-page (max 400) word pitch of the legal aspects of your project

Exam:

• Students will be asked to present the legal aspects of their work during the course (based on their one page-text) + give feedback to another paper. Instructors will provide oral feedback.
• Students should elaborate their one-page pitches into a five page text (max 2000 words), based on the oral comments received during the course.

Potential “specialization topics”  

• Generative AI and academic work
• Standardization
• Security
• Open source
• Cyber security
• Data protection
• AI and the public sector
• AI in health
• AI in education
• AI and agency
• AI and environmental law
• AI and colonialism
• Predictive policing
• Evidentiary issues in AI

Every student should select four specialization topics when signing up for the course. Students are also welcome to make a recommendation! We cannot guarantee that your recommended topic will be discussed but we will do our best!

Student limit:

Max 30 students

Schedule:

Day 1

9:00-11:00: Crash course on AI and Law (all four of us, lecture format)

11-12: Teamwork (TBD)

12-13: Lunch

13:00-15:00: Specialization topics 1-4 (the whole group is divided in two rooms based on selected “specialization topics”)(two teachers are in each room and we will cover two specialization topics in each room re: we will discuss four articles in each room)

Coffee 15:00-15:30

15:30- 18:00: The first half of the students pitch the legal aspects of their work (we remain in our specialization topic group re: we are in two rooms)

Day 2

9:00-11:00: the second half of the student pitch the legal aspects of their work (the group is divided into two rooms)

11-12: Teamwork (TBD)

12-13: Lunch

13-15: Specialisation topics 4-8

15-15:30: Coffee

15:30-18: Reconvene altogether for a group discussion and summing up