Artificial Intelligence (AI) offers immense opportunities: it has the potential to transform and enhance human wellbeing, peace, and prosperity. It also is an extremely disruptive technology which will change the way we do communicate, business and interact with one another. To successfully integrate AI into society we must ensure it is designed, developed, deployed, and used, in a manner that is safe, in such a way as to be human-centric, trustworthy, and responsible.
Against the backdrop of this challenge, this course considers how AI changes the legal landscape and how lawyers, and anyone interested in how our society is regulated, will need to adapt to this new landscape. It does so by examining how AI automates regulatory processes based upon data, a process known as datafication, and how data is used to train and the algorithms at the heart of AI. From here it moves on to examine who controls the development and deployment of these algorithms and how we might control their development and deployment in AI systems by looking at the different models for regulation and compliance from ethical models to the development of legal models, particularly the EU’s AI Act. It asks how we should regulate AI and which approach is likely to be effective. From here we will examine some of the risks of AI applications including its impact on creativity and copyright and upon how AI breaks us down, profiles us and surveils us. We end by looking at some likely disruptive effects of AI on legal practice.
Although law is jurisdictional much of the challenge of regulating AI is trans-jurisdictional and as a result this course will take a global approach to the question of how to regulate AI, focussing mostly on developments in the EU, UK, China, and the US. It is highly comparative and will use materials drawn from several jurisdictions.
This course does not require an in-depth understanding of digital technology or AI systems – we are primarily interested in the implications of the use of information technology, AI and Machine Learning, and the intended and unintended consequences of regulating that use.
Lecturer: Andrew Murray
Module Code: LL449E