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.
The course will also analyze the procedural aspects of the EU Regulation on Artificial Intelligence (AI ACT). Frontal lessons.
Analysis of the basic concepts of Artificial Intelligence, machine learning and predictive algorithms and their possible applications on civil procedure. Related implications for legal ethics.
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, also in view of the EU AI ACT Regulation
- know the possible applications of Artificial Intelligence to the civil process, with some hints of its applications to Legal Design, 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
Frontal lessons. Students’ active participation in classrooms is strongly recommended
Students with a valid certification for Specific Learning Disabilities (DSA), disabilities, or other special educational needs are invited to contact the instructor and the School/Department’s disability coordinator at the beginning of the course in order to agree on personalized teaching arrangements that, while respecting the learning objectives of the course, take into account their individual learning styles.
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 EU AI Act.
Nieva-Fenoll, Intelligenza artificiale e processo, Torino, 2019, 1-143
Recommended readings:
Comoglio, Nuove tecnologie e disponibilità della prova, Torino, 2018, 283-364
Santosuosso, Sartor, Decidere con l'IA. Intelligenze artificiali e naturali nel diritto, Bologna, 2024
Ricevimento: Students may contact the professor by e-mail (paolo.comoglio@unige.it)
PAOLO COMOGLIO (President)
VINCENZO ANSANELLI
ENRICO RIGHETTI (Substitute)
The start date of the classes can be found on the website.
https://corsi.unige.it/corsi/7995
The timetable for this course is available here: EasyAcademy
Oral examination
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.
Ask the professor for other information not included in the teaching schedule
