ID:
GIU0970
Duration (hours):
21
CFU:
3
SSD:
Sistemi di elaborazione delle informazioni
Located in:
Como - Università degli Studi dell'Insubria
Year:
2025
Overview
Date/time interval
Secondo Semestre (24/02/2026 - 25/05/2026)
Syllabus
Course Objectives
The course aims to provide students with introductory competencies to understand the nature, functioning, and legal implications of artificial intelligence, with particular attention to the European and Italian regulatory framework (AI Act and national legislation), integrating theoretical knowledge with practical skills for the informed use of generative tools.
By the end of the Laboratory, students will be able to: (i) understand the fundamental principles of European and national AI regulation; (ii) design legally structured prompts consistent with the required objectives; (iii) critically analyse and revise outputs generated by AI systems; (iv) exercise informed and responsible oversight in the use of AI in legal contexts, recognizing its limitations, potential biases, and professional risks.
By the end of the Laboratory, students will be able to: (i) understand the fundamental principles of European and national AI regulation; (ii) design legally structured prompts consistent with the required objectives; (iii) critically analyse and revise outputs generated by AI systems; (iv) exercise informed and responsible oversight in the use of AI in legal contexts, recognizing its limitations, potential biases, and professional risks.
Course Prerequisites
No prior technical or IT skills are required.
Teaching Methods
The course adopts a laboratory-based methodology, combining brief theoretical introductions with guided practical exercises. Classes include activities based on the comparative use of open-access generative AI tools, prompting exercises, simulations, and critical discussion of the outputs produced. Active participation and in-class discussion constitute an integral part of the learning process.
Students are advised to bring their own laptop or tablet in order to carry out the practical exercises independently during class and to actively engage in laboratory activities.
Students are advised to bring their own laptop or tablet in order to carry out the practical exercises independently during class and to actively engage in laboratory activities.
Assessment Methods
The assessment is structured into three main components, designed to evaluate in an integrated manner theoretical knowledge, prompting skills, and the ability to critically revise outputs generated by AI systems.
Part I – Theoretical Quiz (20%)
Multiple-choice and/or true/false questions aimed at assessing knowledge of the topics covered during the course and of the relevant European and national legal provisions on artificial intelligence (ethical profiles, risks, liability, etc.).
Part II – Reverse Prompting (40%)
An exercise focused on prompting, intended to evaluate the ability to formulate effective instructions for the generation of legal texts. Assessment will consider clarity and structure of the prompt; precision and delimitation of the legal scope; coherence between the instructions provided and the expected outcome; and awareness of methodological issues and risks associated with the use of AI. The objective is to assess both technical proficiency in prompting and critical maturity in the professional use of generative AI tools.
Part III – Output Revision (40%)
An exercise dedicated to the critical revision of an AI-generated output. The task is designed to assess the ability to analyse and evaluate legal texts produced through generative systems, applying criteria related to correctness, coherence, completeness, and contextual appropriateness. It will also include a comparative and forward-looking reflection aimed at improving the generation instructions and enhancing the quality of the final output. The objective is to assess students’ critical maturity and their awareness of the role of human oversight in the professional use of artificial intelligence.
Part I – Theoretical Quiz (20%)
Multiple-choice and/or true/false questions aimed at assessing knowledge of the topics covered during the course and of the relevant European and national legal provisions on artificial intelligence (ethical profiles, risks, liability, etc.).
Part II – Reverse Prompting (40%)
An exercise focused on prompting, intended to evaluate the ability to formulate effective instructions for the generation of legal texts. Assessment will consider clarity and structure of the prompt; precision and delimitation of the legal scope; coherence between the instructions provided and the expected outcome; and awareness of methodological issues and risks associated with the use of AI. The objective is to assess both technical proficiency in prompting and critical maturity in the professional use of generative AI tools.
Part III – Output Revision (40%)
An exercise dedicated to the critical revision of an AI-generated output. The task is designed to assess the ability to analyse and evaluate legal texts produced through generative systems, applying criteria related to correctness, coherence, completeness, and contextual appropriateness. It will also include a comparative and forward-looking reflection aimed at improving the generation instructions and enhancing the quality of the final output. The objective is to assess students’ critical maturity and their awareness of the role of human oversight in the professional use of artificial intelligence.
Contents
The course is structured as a laboratory aimed at combining theoretical framing with practical experimentation. The analysis of the European and national regulatory framework on artificial intelligence provides the foundation for applied activities designed to translate ethical and legal principles into operational competencies.
Classes will alternate between in-depth conceptual discussions and guided exercises intended to develop the ability to use generative AI tools in a legally informed and responsible manner. Students will engage in activities involving the design of generation instructions, critical analysis of produced texts, verification of legal coherence and accuracy, as well as the assessment of risks and liabilities associated with the professional use of AI.
Part of the laboratory will be devoted to the methodological dimension of auditing and human oversight, understood as the critical and systematic control of systems and generated outputs.
Particular attention will be given to the development of prompting and revision skills through comparative activities using open-access tools, with the aim of strengthening autonomy, awareness, and responsibility in the use of artificial intelligence in foundational legal contexts.
Classes will alternate between in-depth conceptual discussions and guided exercises intended to develop the ability to use generative AI tools in a legally informed and responsible manner. Students will engage in activities involving the design of generation instructions, critical analysis of produced texts, verification of legal coherence and accuracy, as well as the assessment of risks and liabilities associated with the professional use of AI.
Part of the laboratory will be devoted to the methodological dimension of auditing and human oversight, understood as the critical and systematic control of systems and generated outputs.
Particular attention will be given to the development of prompting and revision skills through comparative activities using open-access tools, with the aim of strengthening autonomy, awareness, and responsibility in the use of artificial intelligence in foundational legal contexts.
Course Language
Italian
More information
Bibliography
For the purposes of the examination, the study of the following chapters from the volume is mandatory:
Finocchiaro, G. (2025). Diritto dell’intelligenza artificiale (2nd ed.). Bologna: Il Mulino.
In particular, Chapters 1, 2, 3, 4, 6, and 10 are included in the examination syllabus.
The examination programme also includes all supplementary materials, additional readings, case studies, and exercises made available on the course e-learning platform and/or used during class, as well as any seminars organized within the framework of the course, which form an integral part of the syllabus.
The course lecturer meets students by prior appointment, to be arranged via the following email address: roberta.bogni@uninsubria.it
For the purposes of the examination, the study of the following chapters from the volume is mandatory:
Finocchiaro, G. (2025). Diritto dell’intelligenza artificiale (2nd ed.). Bologna: Il Mulino.
In particular, Chapters 1, 2, 3, 4, 6, and 10 are included in the examination syllabus.
The examination programme also includes all supplementary materials, additional readings, case studies, and exercises made available on the course e-learning platform and/or used during class, as well as any seminars organized within the framework of the course, which form an integral part of the syllabus.
The course lecturer meets students by prior appointment, to be arranged via the following email address: roberta.bogni@uninsubria.it
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Single-cycle Master’s Degree
5 years
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