Ex Machina Lex: The Limits of Law's Computability

Join us for an AI and the Law talk with Dr Christopher Markou, who will consider the consequences of using machine learning to replicate core functions of legal systems.

Abstract

The use of machine learning (ML) to replicate aspects of legal decision making is already well advanced, with various ‘Legal Tech’ applications being used to model litigation risk, and data analytics informing decisions on issues with relevance to law, which include probation, predictive policing and credit evaluation. The next step, already being trialled in a number of jurisdictions, will be the use of ML to replicate core functions of legal systems, including adjudication.

AI and the Law Series

The AI and the Law Series is brought to you by the Montreal Cyberjustice Laboratory; the McGill Student Collective on Technology and Law; the Private Justice and the Rule of Law Research Group; the McGill Centre for Intellectual Property Policy; and the Autonomy Through Cyberjustice Technologies Project.

This event is eligible for inclusion as 1.5 hours of continuing legal education as reported by members of the Barreau du Québec.

 

Details and Registration

 

 

 

This event is eligible for inclusion as 1.5 hours of continuing legal education as reported by members of the Barreau du Québec.

This content has been updated on 04/27/2020 at 17 h 42 min.