Maastricht Law & Tech Lab – The Future of AI in Law

Maastricht Law & Tech Lab – The Future of AI in Law

17 October 2019

10:00 - 10:30

Coffee and registration

10:30 - 10:40

Welcome
Gijs van Dijck (Maastricht Law & Tech Lab) and Jan Smits (Faculty of Law)

10:40 - 10:50

Jerry Spanakis (UM Dep. of Data Science and Knowledge Engineering / Maastricht Law & Tech Lab):
Back to the Future: Waves of Legal Scholarschip on Artificial Intelligence

10:50 - 12:20

What Can AI Mean for the Law?

Arthur Dyevre (KU Leuven):
Judicial Behavior and Machine Learning

Masha Medvedeva & Martijn Wieling (University of Groningen):
Potential and Implications of Using Machine Learning for Predicting and Making Court Decisions

Daniel Chen (Toulouse School of Economics):
AI and Rule of Law

12:20 - 13:20

Lunch

13:20 - 14:30

How to Conduct AI in Law and Research?

Ilias Chalkidis (Athens University of Economics and Business):
Large-Scale Multi-Label Text Classification on EU Legislation

Nikolaos Aletras (University of Sheffield):
Legal Judgment Prediction with NLP

14:30 - 14:50

Coffee break

14:50 - 16:00

Case Studies Beyond Case Law: Law Enforcement & Consumer Protection

Floris Bex (Utrecht University):
AI for the police: beyond mere prediction

Gunes Acar (Princeton/KU Leuven):
Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites

16:00 - 17:10

Value-driven AI in Law Research

Nina Grgić-Hlača (Max Planck Institute for Software Systems):
Human Perceptions of Fairness in Algorithmic Decision Making: A Case Study of Criminal Risk Prediction

Michael Veale (University College London):
Privacy Preserving Power and the Law

17:10 - 17:30

Coffee break

17:30 - 18:00

Keynote speech

Yves-Alexandre de Montjoye (Imperial College London):
Estimating the success of re-identifications in incomplete datasets using generative models

18:00 - 19:00

Drinks/sjoelen

19:00

Speakers' dinner