Course Details

State, sovereignty, citizenship

LE0449

Course
State, sovereignty, citizenship
Code
LE0449
Academic Year
2025/2026
Curriculum Year
2024/2025
Degree Programme
MODERN, CLASSIC AND COMPARATIVE PHILOLOGY
Curriculum
000 - 000-GENERICO
Course coordinator
-
Lecturers
Credits
6
Lecture Hours
30
Scientific Disciplinary Sector (SSD)
SPS/01 - Political Philosophy
Course Type
Single-subject learning activity
Course Delivery
OPZ - Opzionale
Year
2
Teaching period
Primo Semestre
Campus
VERCELLI
Teaching language
Italian
Course Contents
Artificial Intelligence: benefits and risks This course will address the topic of artificial intelligence, a crucial and increasingly urgent topic in light of the recent Large Language Models revolution. The approach will be highly interdisciplinary, involving philosophy of information, ethics of technology, political philosophy and political science
Reference Texts
Powerpoint available on DIR
Stephen Wolfram, “What Is ChatGPT Doing … and Why Does It Work?” https://writings.stephenwolfram.com/2023/02/what-is-chatgpt-doing-and-why-does-it-work/
DAIR 2024 “Prompt Engineer Guide” https://www.promptingguide.ai/
Learning Outcomes
Understand what a Large Language Model (LLM) is, conceptually and technically, as a foundation for informed use
Enable participants to apply LLMs effectively in enterprise contexts by mastering core tools, prompting strategies, and integration practices
Understand and evaluate the real likelihood of ethical, political and existential risks that ever more autonomous AI agents pose

Prerequisites
Logical-linguistic competence from high school
Teaching Methods
In addition to face-to-face lectures, each meeting will include a dialogic session in which students will discuss texts and directly experience the use of Large Language Models (LLMs). This approach aims to develop students' critical skills and provide them with practical skills in the use of AI, an increasingly essential skill in the contemporary world.

Assessment Methods
Final essay on a topic related to the course (max 4000 words) (70%), Active class participation (30%). Those who cannot attend will have to take a brief oral exams on the topics of the course
Detailed Syllabus
The first, more theoretical part will answer the question “What is an AI?” It will explore philosophical concepts such as the nature of intelligence and when an automated information system can be considered truly intelligent. An empirical overview of the development of artificial intelligence will also be provided: from its origins, through its current state, to the perspective of Artificial General Intelligence or Superintelligence. The second part of the workshop will be devoted to the political risks of AI. We will examine both catastrophic risks, often discussed by philosophers and scientists, and more immediate threats to social justice, such as the spread of invisible biases and the transfer of political power from humans to algorithms. Concrete examples will be analyzed and discussed, such as the use of AI courts in China and the proposal of AI governments advanced by some parties in northern Europe.

Expected Learning Outcomes
Distinguish between reality and marketing behind AI 2. Learn to use LLM in a critical and intelligent way 3. Understand potential problem that LLMs cause
Last update:09-09-2026 00:14:31