Table of contents
This module examines how tools from AI can help judges make decisions. Judges make decisions at several junctures of the justice system, pre- and post-trial. Their decisions concern matters of fact as well as matters of law. We will examine four topics:
Machine learning tools for risk assessment applied to decisions about bail, preventive detention and sentencing;
Large language models to assist in judicial interpretation and decision-making about matters of law;
Multiagent systems for deciding about the relevance and admissibility of evidence; and
Argumentation structures and Bayesian networks for representing complex bodies of evidence.
Transversal to these topics, the module will also examine the different ways in which the judiciary can rely on findings about matters of fact and matters of law that are entirely or partially based on automated elements, as well as the current legislative policies and case-law on the topic.
Giulia Lasagni - University of Bologna - email: giulia DOT lasagni6 AT unibo DOT it
Marcello Di Bello - Arizona State University - email: mdibello AT asu DOT com
The main course materials for this part of the course are:
For additional information:
The main course materials for this part of the course are:
For additional information:
The main course materials for this part of the course are:
Hoelz BWP, Ghedini Ralha C, Geeverghese R, Artificial Intelligence Applied to Computer Forensics, in Proceedings of the 2009 ACM symposium on applied computing, pp 883–888, 2009
Giulia Lasagni, AI-Powered Investigations: From Data Analysis to an Automated Approach Toward Investigative Uncertainty, in L Bachmaier Winter and S Ruggeri (eds), Investigating and Preventing Crime in the Digital Era. New Safeguards, New Rights, Springer, 2022 - pdf
For additional information:
The main course materials for this part of the course are:
For additional information about Bayesian networks, you may have a look at:
There are several software tools available to draw Bayesian Networks. Below are links to the most popular:
A recent and very good book on Bayesian networks, with an emphasis on legal applications: