Learning objectives
The course aims to provide the fundamentals in the field of so-called internet law, and the legal implications of artificial intelligence.
The aim of the course is to provide the fundamental notions on: sources of law in the world of the internet; protection of personal data; computer documents; computer contracts and contracts with computer object; artificial intelligence; protection of software; computer crimes.
At the end of the course, the student should have acquired the ability
- to recognise, interpret and correctly apply the principles of law to be applied in the world of the Internet
- to know and correctly apply the rules relating to artificial intelligence, and liability in related processes
- to apply the acquired knowledge to concrete cases and to support one's own theses with appropriate language and arguments.
Prerequisites
Students are strongly advised to attend the course after having taken the examinations of: Institutions of Private Law; Constitutional Law; Civil Law I and II; International Law; European Union Law; Criminal Law; Institutions of Roman Law.
Course unit content
The course explores the impact of digital and the need for uniform law, especially to regulate artificial intelligence and electronic commerce.
In particular, with a multidisciplinary approach, the subjects of the course are: the notion and definitions of Artificial Intelligence; the so-called Machine Learning; predictive algorithms. The right of access to the Internet; the concept of bubble democracy; AI and the risk of discrimination; AI and the right to health will be dealt with.
In addition, the sources of law in the world of the internet will be examined; the legal framework for the protection of personal data; the computer document and computer-related contracts; civil liability arising from artificial intelligence processes; the status and liability of robots and self-driving cars; and the regulation of digital platforms.
Full programme
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Bibliography
Teaching materials, slides and sentences will be published by the individual Professors on the Elly 2022/2023 platform under the Course heading.
Teaching methods
Each module comprises both lectures and interactive moments with students, consisting mainly of the analysis and discussion of documents and judgments, available on the Elly platform.
Assessment methods and criteria
The examination is oral and will consist of three questions, which will assess the level of knowledge and understanding acquired.
In the case of a written examination, students will be given a multiple-choice test and two open questions.
Knowledge and understanding will be ascertained by means of questions designed to test the actual knowledge of the fundamental concepts relating to the five modules.
In the event of a continuing medical emergency and depending on how the emergency develops, the examination may be held in the classroom, in mixed mode (i.e. in the classroom, but with the possibility of also being taken at a distance for those students who request it from the lecturer), or only in the on-line mode for all (at a distance). Notice of the chosen mode will be given on the Esse3 system in good time before the exam is held.
Other information
Information on the individual modules in which the course is composed can be found in the Syllabuses of the respective subject contact persons.
