Enrollment year
2021/2022
Academic discipline
IUS/20 (PHILOSOPHY OF LAW)
Department
DEPARTMENT OF MATHEMATICS "FELICE CASORATI"
Course
ARTIFICIAL INTELLIGENCE
Curriculum
PERCORSO COMUNE
Period
1st semester (03/10/2022 - 20/01/2023)
Lesson hours
96 lesson hours
Activity type
WRITTEN AND ORAL TEST
Prerequisites
The student should have basic knowledge of the main tools and techniques used in AI, and an introductory knowledge of formal methods.
Learning outcomes
The expected results are the following:
An in-depth understanding of the main claims made by each of the theories we consider.
The ability to identify the structure of arguments and theories.
The ability to present focused objections to arguments and theories.
The ability to rationally defend a point of view, possibly original, and to communicate effectively.
Course contents
The course aims at introducing and discussing some of the main current problems and approaches to the ethics and law of artificial intelligence, including, for example, problems of definition of AI techniques in legal texts, actual and projected uses of AI in the civil and criminal domain, the proposed EU AI regulation, the control and alignment problems, normative uncertainty and normative risk, and the human compatible approach. The final part of the course will be devoted to some of the main ethical issues raised by artificial intelligence, among which are the problem of the incorporation of biases by artificial intelligence, and the questions of the moral status and moral responsibility of AI.
Teaching methods
Lectures. Discussion sessions. Seminars. Guided readings of research papers. Talks by invited experts.
Reccomended or required readings
S Russell, Human Compatible, Viking, 2019.
Federico Faroldi, Lecture Notes on Law, Ethics, and AI (available at the end of the course).
Richard Ngo, AI Safety from First Principles
John-Stewart Gordon and Sven Nyholm, "Ethics of Artificial Intelligence", Internet Encyclopaedia of Philosophy, https://iep.utm.edu/ethics-of-artificial-intelligence/
Proposal for a REGULATION OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL LAYING DOWN HARMONISED RULES ON ARTIFICIAL INTELLIGENCE: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:52021PC0206
Johnson, D.G. (2006). Computer systems: Moral entities but not moral agents. Ethics Inf Technol 8, 195-204;
Floridi, L., & Sanders, J. (2004). On the Morality of Artificial Agents. Minds and Machines 14, 349-379;
Gunkel, D. J. (2020). Mind the gap: responsible robotics and the problem of responsibility. Ethics Inf Technol 22, 307-320
Assessment methods
Multiple-choice written test. Sample questions will be discussed during the course.
The test will include questions from both modules, and the vote will be unique.
Sustainable development goals - Agenda 2030
Università di Pavia - Offerta formativa