Ethics of Artificial Intelligence
Course objectives
The course aims to provide an overview of the numerous ethical and social issues raised by Artificial Intelligence and its impact on society and individuals. Students will learn about the main social and ethical challenges posed by AI, their development and their application in daily life. The conceptual analysis will be supported by the discussion of practical case studies that will allow them to critically address the ethical issues of AI
Channel 1
ANTONELLA FICORILLI
Lecturers' profile
Program - Frequency - Exams
Course program
Module ETHICS OF ARTIFICIAL INTELLIGENCE (CFU 3) a.a. 2024/2025
Programme
The course aims to address the several ethical and social issues raised by Artificial Intelligence (AI) as a new form of action and its impact on society, individuals and the environment, both in terms of risks and benefits. The proposed framework of ethical principles for the adoption of ethically and socially acceptable AI will be explained and analysed, as well as the tensions that may arise between the various values at stake. The course also aims to create awareness of the relevance of ethical reflection in all phases of the AI systems' life cycle: from their design and development to their application in everyday life. Particular attention will be devoted to the ethics of algorithms. The conceptual analysis will be supported by the discussion of practical case studies that will enable students to critically address the ethical issues of AI.
Prerequisites
No special requirements are needed
Books
Luciano Floridi, Etica dell’intelligenza artificiale. Sviluppi, opportunità, sfide, Raffaello Cortina Editore, Milano, 2022.
Further information will be provided during the course.
Frequency
Attendance is highly recommended
Exam mode
The examination includes an oral interview in which you will be asked to answer questions on topics from the syllabus.
Bibliography
Matteo Galletti, Silvano Zipoli Caiani (a cura di), Filosofia dell’Intelligenza Artificiale. Sfide etiche e teoriche, il Mulino, Bologna, 2024; Fabio Fossa, Viola Schiaffonati, Guglielmo Tamburrini (a cura di), Autonomi e persone. Introduzione all’etica dell’intelligenza artificiale e della robotica, Carocci editore, Roma, 2021; Kai-Fu Lee, Chen Qiufan, AI 2041. Scenari dal futuro dell’intelligenza artificiale, LUISS University Press, Roma, 2023.
Lesson mode
The course will be organised on the basis of lectures, in which the topics on the syllabus will be analysed and the active participation of students through questions and requests for clarification will be encouraged.
- Lesson codeAAF2229
- Academic year2024/2025
- CourseMathematical Sciences for Artificial Intelligence
- CurriculumSingle curriculum
- Year3rd year
- Semester2nd semester
- CFU3
- Subject areaAltre conoscenze utili per l'inserimento nel mondo del lavoro