Artificial Intelligence, Law Issue and Sustainability

- Basic knowledges of how AI-systems work (deterministic and non-deterministic algorithms; software; NLP; LLM);
- Ability to subsume new tools within the correct legal categories (characterization of software, algorithms, etc.);
- Ability to frame and to understand the legal issues raised by the development and use of AI-systems on non-contractual civil liability (analysis of both substantive rules and European private international law);
- Ability to argue about the legislative policies pursued at supranational level (comparative perspective among the EU; China and the USA) to regulate, in particular, the extra-contractual civil liability issues raised by the development and use of AI-systems;
- Ability to grasp the ethical issues raised by the deployment of AI-systems;
- Communication skills and ability to argue on the subject with logical-legal rigour and propriety of language, including on technological aspects.

Students who have successfully mastered the course:

I) will have acquired the skills to frame and understand the legal issues raised by the development and use of AI- systems;
II) will have acquired the technical and legal skills to examine with independent judgement the recent regulatory proposals made within the European Union on the AI systems. In particular, students will have acquired the tools to argue whether or not there is a need to amend European private international law provisions on non-contractual civil liability;
III) will have reached a comprehensive level of understanding about the different legislative policies adopted in EU, China and the USA, thus being able to argue the respective pros and cons;
IV) will be able to argue on the main ethical concerns raised - in particular - in the development phase of AI-systems;
V) will have reached the maturity of judgement to assess whether, and to what extent, the development of systems of/with artificial intelligence can promote sustainable development.