AI & the Law

A course for those interested in AI and its impact on law.
It is undeniable that the technological development taking place in society, with artificial intelligence (AI) at the forefront, affects the law. To understand this development and how it drives and challenges legal science and practical legal work, we need to study AI, technology, and law together and in an interdisciplinary manner. If you are interested in frontier technology, AI, and in exploring legal approaches addressing new societal and technological challenges, this is the course for you.
 
Why should I choose the AI & Law course?
In a short frame of time AI has gone from being a phenomenon only found in science-fiction to an everyday addition that drives law, technological development, and the market. Various industries and societal sectors are today increasingly using AI. AI solutions are already embedded in the judicial system, the financial sector, the transport sector, healthcare, the entertainment industry, etc. Robots, bots, and apps based on machine learning have become standard. The law has recently begun to understand and frame these technologies, but many legal questions remain unexplored, and answers are few, or lacking in many respects. This course is aimed at students interested in entering a constantly evolving field that requires multidimensional thinking.
 
What do I get out of the course?
This course asks the very broad and challenging question: what should a lawyer know about AI in order to understand its arrival?
 
We are still midway through a paradigm shift, which means that we experience the legal order, the legal profession, and legal science as being under great pressure brought on by the advent of AI technology. However, there are also simultaneously vast possibilities and new ways of approaching law and society, that the development of AI has given rise to. In this course, we study AI from different legal and socio-legal perspectives.
 
The course is both practical and theoretical. We work with doctrinal legal approaches, studying current law, legal cases, etc. but we also explore the more experimental, speculative, and interdisciplinary methods. We discuss labour, human and algorithmic decision-making, machine learning, and AI-powered platforms.
 
Form of the course
The course is case-based, often referring to and working with real-life examples. The students will also be asked to find their own examples based on the different thematic elements. We work both individually and in groups.
 
During the course, several guest lecturers who are experts and who in various ways practically work with AI will be invited.
 
Examination consists of a presentation of a group work (5 credits) and an individual or group-authored essay (10 credits).