Studying at the University of Verona
Here you can find information on the organisational aspects of the Programme, lecture timetables, learning activities and useful contact details for your time at the University, from enrolment to graduation.
Study Plan
This information is intended exclusively for students already enrolled in this course.If you are a new student interested in enrolling, you can find information about the course of study on the course page:
Laurea magistrale in Diritto per le tecnologie e l'innovazione sostenibile - Enrollment from 2025/2026The Study Plan includes all modules, teaching and learning activities that each student will need to undertake during their time at the University.
Please select your Study Plan based on your enrollment year.
1° Year
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2° Year activated in the A.Y. 2022/2023
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1 module between the following
1 module between the following
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1 module between the following
1 module between the following
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Legend | Type of training activity (TTA)
TAF (Type of Educational Activity) All courses and activities are classified into different types of educational activities, indicated by a letter.
Artificial intelligence and labour law (2022/2023)
Teaching code
4S008452
Teacher
Coordinator
Credits
6
Also offered in courses:
- Artificial intelligence and labour law of the course Combined Bachelor's + Master's degree in Law
- Artificial intelligence and labour law of the course Master's degree in Artificial intelligence
Language
Italian
Scientific Disciplinary Sector (SSD)
IUS/07 - LABOUR LAW
Period
1st lecture period (1A) dal Sep 15, 2022 al Oct 27, 2022.
Learning objectives
The course is included in the learning area on Management innovation and new technologies. It has a twofold objective: to reflect on the logic and functioning of employment relationships as they are conditioned by new technologies and to acquire knowledge and understanding of the way new technologies and artificial intelligence affect the employment relationship.
By the end of the course students will acquire understanding of the regulatory systems and the organizational models of digitized work. Students will also be able to address actual problems that might rise in their professional context. Work in groups and written assignments based on Problem Based Solving (PBS) methods will provide them with the ability to assess the implications of the regulatory framework, develop appropriate reasoning and terminology, and formulate independent judgments. The teaching method is aimed at improving continuous learning skills.
Bibliography
Learning assessment procedures
To pass the exam, students must demonstrate:
- to have understood the impact of new technologies on labor law
- to be able to present their arguments in a precise and organic way on the issues of labor law with a specific focus on the impact of artificial intelligence technologies on it
- to know how to apply the acquired knowledge to solve application problems presented in the form of exercises, questions and projects.