Artificial Intelligence

2019-2020

Course Objective

(a) Subject-specific learning outcomes
Upon completion of the course the student should have basic knowledge
of:

• Core methods from the field of Artificial Intelligence, in particular:
Agent-based Modelling and Simulation, Machine Learning
and Text mining
• The relation between AI and Law
• Key applications of AI within Law
• Ethical questions related to the use of AI

(b) Academic learning outcomes
Upon completion of the course the student should be able to:

• Read, understand, analyse and reflect upon interdisciplinary
literature relating to AI applications in the field of law
• Analyse, interpret and employ scientific knowledge in a written
assignment on a basic level
• Make a reasoned choice for an AI application and reflect on the
potential consequences of this application for the legal field

(c) Social and communication learning outcomes
Upon completion of the course the student should be able to:

• Work in a focused and systematic way, both independently and as member
of a team of people who have diverse (national, cultural, disciplinary)
backgrounds
• In a scientifically substantiated manner clearly and convincingly
present viewpoints and findings to different target groups in written
form

Course Content

Artificial Intelligence (AI) is the science and engineering of
intelligent systems. AI systems are capable of sensing their
environment, learn from and reason about it, and change it based on
advanced decision-making.
Current advances in AI may be understood as the beginning of the fourth
industrial revolution. AI is everywhere and affects every sector of
society, including law. Innovation in computational technologies have
given rise to a whole spectrum of new developments, ranging from
autonomous cars and drones to predictive policing and automated warfare.
Each of these developments has significant legal, ethical and policy
implications. With autonomous driving, for example, this became
particularly obvious after a pedestrian was killed for the first time by
an autonomous vehicle on a test drive. How will autonomous vehicles
affect the law, particularly once they are authorized for regular usage,
and take the streets in large numbers? Can it even be considered ethical
to have machines think by themselves? Another, closely related, AI
application – automated weapons – raises potentially even more pressing
issues. What are the legal and ethical implications of autonomous
weapons that determine themselves when to fire, without a human being
involved in the decision process? Examples like these show the
tremendous impact that AI will have on the legal field; lawyers must be
able to deal with this.

Teaching Methods

Lectures
Seminars (Attendance is mandatory)

Method of Assessment

Written exam
Assignments

General Information

Course Code R_ArtIntL
Credits 6 EC
Period P5
Course Level 200
Language of Tuition English
Faculty Faculty of Law
Course Coordinator prof. dr. J.M. Harte
Examiner prof. dr. J.M. Harte
Teaching Staff

Practical Information

You cannot register for this course yourself; your faculty's education office carries out registration