CODE 86888 ACADEMIC YEAR 2024/2025 CREDITS 6 cfu anno 3 GIURISPRUDENZA 7995 (LMG/01) - GENOVA 6 cfu anno 4 GIURISPRUDENZA 7995 (LMG/01) - GENOVA 6 cfu anno 5 GIURISPRUDENZA 7995 (LMG/01) - GENOVA 6 cfu anno 5 GIURISPRUDENZA 7996 (LMG/01) - IMPERIA 6 cfu anno 3 SERVIZI LEGALI ALL'IMPRESA E ALLA PUBBLICA AMMINISTRAZIONE 10842 (L-14) - GENOVA SCIENTIFIC DISCIPLINARY SECTOR IUS/15 LANGUAGE Italian TEACHING LOCATION GENOVA IMPERIA SEMESTER 1° Semester TEACHING MATERIALS AULAWEB 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. The course will also analyze the procedural aspects of the EU Regulation on Artificial Intelligence (AI ACT). Frontal lessons. AIMS AND CONTENT LEARNING OUTCOMES 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. 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, 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 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 EU AI Act. 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 PAOLO COMOGLIO Exam Board PAOLO COMOGLIO (President) VINCENZO ANSANELLI ENRICO RIGHETTI (Substitute) LESSONS 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.