AI and Law
Relation between AI and Law; applications of AI within Law; ethical questions related to AI in the legal domain.
Learning objectives
(a) Subject-specific learning outcomes (knowledge and understanding) Upon completion of the course the student should have basic knowledge of: The relation between AI and Law Key applications of AI within Law Ethical questions related to the use of AI within the legal domain (b) Academic learning outcomes (applying knowledge and understanding; making judgements) 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 legal consequences of this application (c) Social and communication learning outcomes (applying knowledge and understanding; communication; lifelong learning skills) Upon completion of the course the student should be able to: Work in a focused and systematic way In a scientifically substantiated manner clearly and convincingly present viewpoints and findings in written form
Innovation in computational technologies have given rise to a whole range of new developments, such as autonomous cars and drones, 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.
Assessment
Written exam and practical assignment (individually or in groups of 2). They both count 50% towards the final grade and both components need to be passed with a minimum grade of 5.5 The practical assignment can be redone if not sufficient (< 5.5). There will be a resit for the written exam if not sufficient (<5.5).
Teaching methods
Lectures and tutorials. The tutorials are mandatory.
Help us improve this page
AI and Law
This course doesn't have detailed student info yet. Your tips, summaries, or resources would help everyone. You can submit materials anonymously — no account needed.
Submit materials
Upload summaries, notes & more
Or get in touch
Email us for quick changes, questions, or anything that isn't a large file.
Tip: Use the Canvas Course Downloader extension to export your course materials from Canvas, then upload the files through the form above.
You can also contribute via a GitHub pull request. Contributors are credited if desired.