Dr Martin Husovec, Dr Ayse Gizem Yasar and Dr Sara Nogueira Silva
Artificial Intelligence (AI) opens up immense possibilities: it is a disruptive technology which is changing the way we communicate, do business and interact with one another. As AI becomes more and more integrated into our lives, we must ensure it is designed, developed, deployed, and used, in a manner that reflects social values, and that does not harm humans, societies and the planet at large.
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 processes based upon data, a process known as datafication, and how data is used to train AI. It asks how this impacts our privacy and whether data protection law is ready to deal with this new wave of personal data exploitation. 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. It concludes by examining the current legal framework for AI regulation and asks how we should regulate AI and which approach is likely to be effective.
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, and the US. It is highly comparative and will use materials drawn from a number of 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.
Dr Martin Husovec, Dr Ayse Gizem Yasar and Dr Sara Nogueira Silva
Artificial Intelligence (AI) opens up immense possibilities: it is a disruptive technology which is changing the way we communicate, do business and interact with one another. As AI becomes more and more integrated into our lives, we must ensure it is designed, developed, deployed, and used, in a manner that reflects social values, and that does not harm humans, societies and the planet at large.
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 processes based upon data, a process known as datafication, and how data is used to train AI. It asks how this impacts our privacy and whether data protection law is ready to deal with this new wave of personal data exploitation. 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. It concludes by examining the current legal framework for AI regulation and asks how we should regulate AI and which approach is likely to be effective.
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, and the US. It is highly comparative and will use materials drawn from a number of 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.
Artificial Intelligence (AI) opens up immense possibilities: it is a disruptive technology which is changing the way we communicate, do business and interact with one another. As AI becomes more and more integrated into our lives, we must ensure it is designed, developed, deployed, and used, in a manner that reflects social values, and that does not harm humans, societies and the planet at large.
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 processes based upon data, a process known as datafication, and how data is used to train AI. It asks how this impacts our privacy and whether data protection law is ready to deal with this new wave of personal data exploitation. 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. It concludes by examining the current legal framework for AI regulation and asks how we should regulate AI and which approach is likely to be effective.
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, and the US. It is highly comparative and will use materials drawn from a number of 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.