The 2023 AI and Law Summer School will take place over five lecture days. The tables below present the contents that will be covered in each session, as well as the professors responsible for the activities.
This program already reflects the hybrid format adopted for this edition of the Summer School, but it may be subject to changes before the activities begin.
Day 1 — Monday, 10 July
09:00-10:30 Session 1.1.1: Introduction to AI and Law (Kevin Ashley)11:00-12:30 Session 1.1.2: Introduction to programming (Arthur Dyevre)14:00-15:30 Session 1.2.1: Knowledge-based systems and ontologies (Monica Palmirani)16:00-17:30 Session 1.2.2: Logic programs for representing and reasoning about rules and regulations (Robert Kowalski)
Day 2 — Tuesday, 11 July
09:00-10:30 Session 2.1.1: Knowledge-based systems for representing regulations. Theory (Guido Governatori)11:00-12:30 Session 2.1.2: Knowledge-based systems for representing regulations (Giuseppe Contissa)14:00-15:30 Session 2.2.1: Knowledge-based systems. Hands-on session (Guido Governatori)16:00-17:30 Session 2.2.2: Models of legal argument: Case-based approaches (Kevin Ashley)
09:00-10:30 Session 4.1.1: Models of legal argument: Hands-on Session (Henry Prakken)11:00-12:30 Session 4.1.2: Legal forecasting (Arthur Dyevre)14:00-15:30 Session 4.2.1: Information extraction from legal text (Adam Wyner)16:00-17:30 Session 4.2.2: Network Analysis (Arthur Dyevre)
Day 5 — Friday, 14 July
09:00-10:30 Session 5.1.1: Text analytics and legal cases (Matthias Grabmair)11:00-12:30 Session 5.1.2: Text analytics and legal cases. Hands-on Session (Matthias Grabmair).14:00-15:30 Session 5.2.1: Text analytics in the legal domain: the case of contracts and privacy policies (Francesca Lagioia)16:00-17:30 Session 5.2.2: Prospects for legal analytics (Kevin Ashley and Amedeo Santosuosso)17:30-18:00 Closing session + Certificates of attendance