Course Syllabus
Obiettivi
The main aim is for the students to acquire an in-depth understanding of the course contents, such as the basic features of normative reasoning, the current problems of and approaches to the interaction of law and artificial intelligence, privacy and data protection.
The course moreover aims at making the students acquire the ability to identify the structure of arguments and theories, to present focused objections to arguments and theories, and to rationally defend a point of view, possibly original, in order to communicate it effectively.
Contenuti sintetici
The course aims at introducing and discussing the essential features of normative and legal reasoning, some of the main current problems and approaches of law and artificial intelligence, and an overview of the interplay between national legal systems and the EU system, with a specific focus on the purposes and functioning of personal data protection law (in particular, G.D.P.R. (EU Regulation 2016/679)) and the EU AI Act (Regulation (EU) 2024/1689).
Programma esteso
The course will deal with the problems of the definition of AI techniques in legal texts, actual and projected uses of AI in the civil and criminal legal domain, the EU AI Act (Regulation (EU) 2024/1689), law-following AI, the control and alignment problems, normative uncertainty and normative risk, the fundamental elements and regulation (national, european and international) of personal data protection law.
The course is composed of two modules:
- Foundations of Law, AI Law and Safety (32 hours)
- Foundations of Law, Regulations of Privacy and Data Protection (16 hours)
Prerequisiti
The student should have basic knowledge of the main tools and techniques used in AI, and an introductory knowledge of formal methods.
Modalità didattica
Lectures. Discussion sessions. Seminars. Guided readings of research papers. Talks by invited experts. Project work.
Materiale didattico
Students who attend at least 75% of the meetings:
The required materials will be made available during the course.
Notes taken during the course.
All other students:
EU AI Act (Regulation (EU) 2024/1689): https://eur-lex.europa.eu/eli/reg/2024/1689/oj Chapters I, II, III (Sections 1, 2, 3), IV, V and Annexes II, III.
G.D.P.R. (EU Regulation 2016/679): https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32016R0679
F.. Faroldi, General AI and Transparency in the EU AI Act, i-lex, 14, 2, 2021, pp. 56–68.
F.Faroldi, Risk and AGI, AI & Society, 2024.
F. Faroldi, Lecture Notes on Law and AI, available at the end of the course.
F. Lagioia and G. Sartor, AI Systems Under Criminal Law: a Legal Analysis and a Regulatory Perspective, Philosophy and Technology, (2020) 33:433–465.
J. Schuett, Risk Management in the Artificial Intelligence Act, European Journal of Risk Regulation (2023), 1–19.
For further reading, students can consult:
Handbook on European data protection law: https://fra.europa.eu/en/publication/2018/handbook-european-data-protection-law-2018-edition
P. Voigt, A. von dem Bussche, The ER General Data Protection Regulation (GDPR)- A Practical Guide, Springer, 2017
Periodo di erogazione dell'insegnamento
First semester
Modalità di verifica del profitto e valutazione
There will be no intermediate assessments. The final assessment will be a written exam employing a mix of multiple-choice questions, to evaluate knowledge of the course content, and open questions, to evaluate critical and argumentative skills. Partial credit might be assigned for optional in-class work.
Orario di ricevimento
Before and after class, and by appointment.
Prof. Faroldi’s office hours are Tuesdays, 16–17, by appointment (Federico.faroldi@unipv.it) at Dipartimento di Giurisprudenza, Second Floor, Strada Nuova 65, 27100 Pavia.
Prof. Castronovo’s office hours are after class and by appointment (francesco.castronovo@unicatt.it).
Aims
The main aim is for the students to acquire an in-depth understanding of the course contents, such as the basic features of normative reasoning, the current problems of and approaches to the interaction of law and artificial intelligence, privacy and data protection.
The course moreover aims at making the students acquire the ability to identify the structure of arguments and theories, to present focused objections to arguments and theories, and to rationally defend a point of view, possibly original, in order to communicate it effectively.
Contents
The course aims at introducing and discussing the essential features of normative and legal reasoning, some of the main current problems and approaches of law and artificial intelligence, and an overview of the interplay between national legal systems and the EU system, with a specific focus on the purposes and functioning of personal data protection law (in particular, G.D.P.R. (EU Regulation 2016/679)) and the EU AI Act (Regulation (EU) 2024/1689).
Detailed program
The course will deal with the problems of the definition of AI techniques in legal texts, actual and projected uses of AI in the civil and criminal legal domain, the EU AI Act (Regulation (EU) 2024/1689), law-following AI, the control and alignment problems, normative uncertainty and normative risk, the fundamental elements and regulation (national, european and international) of personal data protection law.
The course is composed of two modules:
- Foundations of Law, AI Law and Safety (32 hours)
- Foundations of Law, Regulations of Privacy and Data Protection (16 hours)
Prerequisites
The student should have basic knowledge of the main tools and techniques used in AI, and an introductory knowledge of formal methods.
Teaching form
Lectures. Discussion sessions. Seminars. Guided readings of research papers. Talks by invited experts. Project work.
Textbook and teaching resource
Students who attend at least 75% of the meetings:
The required materials will be made available during the course.
Notes taken during the course.
All other students:
EU AI Act (Regulation (EU) 2024/1689): https://eur-lex.europa.eu/eli/reg/2024/1689/oj Chapters I, II, III (Sections 1, 2, 3), IV, V and Annexes II, III.
G.D.P.R. (EU Regulation 2016/679): https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32016R0679
F.. Faroldi, General AI and Transparency in the EU AI Act, i-lex, 14, 2, 2021, pp. 56–68.
F.Faroldi, Risk and AGI, AI & Society, 2024.
F. Faroldi, Lecture Notes on Law and AI, available at the end of the course.
F. Lagioia and G. Sartor, AI Systems Under Criminal Law: a Legal Analysis and a Regulatory Perspective, Philosophy and Technology, (2020) 33:433–465.
J. Schuett, Risk Management in the Artificial Intelligence Act, European Journal of Risk Regulation (2023), 1–19.
For further reading, students can consult:
Handbook on European data protection law: https://fra.europa.eu/en/publication/2018/handbook-european-data-protection-law-2018-edition
P. Voigt, A. von dem Bussche, The ER General Data Protection Regulation (GDPR)- A Practical Guide, Springer, 2017
Semester
First semester
Assessment method
There will be no intermediate assessments. The final assessment will be a written exam employing a mix of multiple-choice questions, to evaluate knowledge of the course content, and open questions, to evaluate critical and argumentative skills. Partial credit might be assigned for optional in-class work.
Office hours
Before and after class, and by appointment.
Prof. Faroldi’s office hours are Tuesdays, 16–17, by appointment (Federico.faroldi@unipv.it) at Dipartimento di Giurisprudenza, Second Floor, Strada Nuova 65, 27100 Pavia.
Prof. Castronovo’s office hours are after class and by appointment (francesco.castronovo@unicatt.it).