OVERVIEW

New technologies are significantly changing the human epistemic strategies. Increasingly frequent is the use of IT filters to manage the information overload. Words such Algorithms, Artificial Intelligence and Big Data are commonly used. This course aims to analyze the possible impact of new technologies (and Artificial Intelligence in particular) on civil procedure and the role of lawyers.

AIMS AND CONTENT

LEARNING OUTCOMES

Study of the so-called complex litigation and of the special proceedings courts. Antitrust procedural devices.

AIMS AND LEARNING OUTCOMES

Attendance and active participation in the proposed activities and individual study will enable the student to

- know the basic concepts of Artificial Intelligence, machine learning, predictive algorithms and Big Data

- know the possible applications of Artificial Intelligence to the civil process, with some hints of its applications to blockchain and smart contracts

- know the current applications of machine learning in the US discovery phase

- analyze the main technical, ethical and deontological problems related to the use of artificial intelligence in civil procedure

- identify the possible transformations of the role of the lawyer resulting from the use of Artificial Intelligence

TEACHING METHODS

Frontal lessons. Students’ active participation in classrooms is strongly recommended

SYLLABUS/CONTENT

The course is divided into three parts:

The first part analyzes the basic concepts of Artificial Intelligence, machine learning, predictive algorithms and Big Data

The second part analyzes the current (and possible future) application of Artificial Intelligence to the civil proceedings, with particular reference to Technology Assisted Review of documents used in the US discovery

The third part analyzessome of the main technical, ethical and deontological problems raised by the application of Artificial Intelligence to the civil proceedings, with particular attention to the Ethics guidelines for trustworthy AI adopted by the European Commission and to the possible modifications on the role of lawyers.

RECOMMENDED READING/BIBLIOGRAPHY

Nieva-Fenoll, Intelligenza artificiale e processo, Torino, 2019, 1-143

Recommended readings:

Comoglio, Nuove tecnologie e disponibilità della prova, Torino, 2018, 283-364

Kaplan, Intelligenza Artificiale. Guida al futuro prossimo, Roma, 2017

TEACHERS AND EXAM BOARD

Exam Board

PAOLO COMOGLIO (President)

VINCENZO ANSANELLI

ENRICO RIGHETTI (Substitute)

LESSONS

LESSONS START

I semester from September 14th to December 4th 2020
II semester from February 15th to May 7th 2021

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

Oral examination

ASSESSMENT METHODS

The oral examination aims to verify that the candidates have a homogeneous and critical preparation on all the modules of the course. Attendance and active participation in the lessons will be taken into consideration for the final evaluation.

Exam schedule