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  1. Courses

509519 - ETHICS, LAW AND AI

courses
ID:
509519
Duration (hours):
96
CFU:
12
SSD:
FILOSOFIA DEL DIRITTO
Year:
2025
  • Overview
  • Syllabus
  • Degrees
  • People

Overview

Date/time interval

Primo Semestre (29/09/2025 - 16/01/2026)

Syllabus

Course Objectives

The expected results are the following: An in-depth understanding of the main claims made by each of the theories we consider and the EU AI Act. 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 Prerequisites

The student should have basic knowledge of the main tools and techniques used in AI, and an introductory knowledge of formal methods.

Teaching Methods

Lectures. Flipped classroom. Discussion sessions. Seminars. Guided readings of research papers. Talks by invited experts.

Assessment Methods

Multiple-choice written test. Sample questions will be discussed during the course.
The test will include questions from all modules, and the vote will be unique.

Texts

Law and AI safety Federico L.G. Faroldi, AI: Ethics, Law, Safety. Selected Topics, Normative Risk Lab, 2024. 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. Possibly, papers shared in google drive. — Ethics of AI Coeckelbergh, M. (2010) Moral appearances: emotions, robots, and human morality. Ethics Inf Technol 12, 235–241. Floridi, L., Sanders, J. (2004) On the Morality of Artificial Agents. Minds and Machines 14, 349–379; Gunkel, D. J. (2022) The Relational Turn: Thinking Robots Otherwise. In: Loh J. and Loh W. (eds) Social Robotics and the Good Life: The Normative Side of Forming Emotional Bonds With Robots. Bielefeld: transcript Verlag, p. 55-76. Johnson, D.G. (2006). Computer systems: Moral entities but not moral agents. Ethics Inf Technol 8, 195-204; Llorca Albareda, J., García, P., Lara, F. (2023). The Moral Status of AI Entities. In: Lara, F., Deckers, J. (eds) Ethics of Artificial Intelligence. Cham: Springer, p. 59–83. Müller, V. C. (2021). Is it time for robot rights? Moral status in artificial entities. Ethics and Information Technology, 23, 579–587; Pitt JC. (2014) “Guns don’t kill, people kill”; values in and/or around technologies. In: Kroes P, Verbeek PP, (eds.) The moral status of technical artefacts. Dordrecht: Springer p. 89–101; Redaelli, R. (2023). Different approaches to the moral status of AI: a comparative analysis of paradigmatic trends in Science and Technology Studies. Discov Artif Intell 3, 25 (2023); Redaelli, R. (2024) Slides; van de Poel, I. (2020). Embedding Values in Artificial Intelligence (AI) Systems. Minds & Machines 30, 385-409; —------------------------------------------------------------------------------------------------------------- AI and Society C. Larese, Lecture notes (Ethics, Law and AI, 2024-2025). C.B. Frey (2019) The Technology Trap: Capital, Labour, and Power in the Age of Automation, Princeton, NJ: Princeton University Press. Introduction (pp. 1-28) and Part IV (pp. 223-295).

Contents

The course aims at introducing and discussing some of the main current problems and approaches to the ethics and law of artificial intelligence. The Law and AI safety module will deal with the problems of definition of AI techniques in legal texts, actual and projected uses of AI in the civil and criminal domain, the EU AI Act, the control and alignment problems, normative uncertainty and normative risk, and the human compatible approach. The Ethics of AI module 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. The AI and Society module will deal with the economic and political impact of AI. In particular, it will explore how technological change impacts inequality in society, by transforming the demand for labour and skills and disrupting hiring practices, and analyse the challenges and opportunities to democracy created by AI.

Course Language

English

More information

Inclusive teaching: individual and group tutorships, extra material (including videos when available) for selected topics.

Degrees

Degrees

ARTIFICIAL INTELLIGENCE 
Bachelor’s Degree
3 years
No Results Found

People

People (3)

FAROLDI FEDERICO
Gruppo 12/GIUR-17 - FILOSOFIA DEL DIRITTO
AREA MIN. 12 - Scienze giuridiche
Settore GIUR-17/A - Filosofia del diritto
Professore associato
LARESE COSTANZA
Teaching staff
REDAELLI ROBERTO
Teaching staff
No Results Found
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