DIGITAL LAW AND DATA PROTECTION

The Digital Law and Data Protection Laboratory is the last of the laboratories of the Legal informatic course and as such it focuses on a relevant legal aspect inherent to the matter. In particular, a large part of the laboratory is dedicated to illustrating the European data protection regulation, embodied by the GDPR, but the growing regulatory production resulting from the launch of the European digital strategy requires to also address the issue of data protection interaction with new legal frameworks that encourage and regulate the data sharing in the markets of digital services. Equally important is the introduction to the issue of the complementarity between protection of personal data and cybersecurity.

Intelligenza artificiale, machine learning e diritto.

Knowledge and comprehension: to achieve knowledge of some cutting edge topics in the relevant field of study with the appropriate teaching support, knowledge of the fundamental elements of the European regulation on personal data protection and governance of data flows, knowledge of the main regulatory acts already approved and proposed relating to the European digital strategy, understanding of IT risks and of the security measures to prevent and repair them. Applied knowledge and comprehension: devising and supporting arguments related to the topic of personal data protection, governance of data flows and cybersecurity. Making autonomous judgements: collecting and interpreting relevant information and data in order to assess and prevent risks and seize opportunities in IT security. Communication skills: communicating information, ideas, problems and solutions on data protection, data governance and cybersecurity. Ability to learn: having developed the skills necessary to undertake subsequent studies with a high degree of autonomy.

I. The GDPR (EU General Data Protection Regulation) II. Digital law III. Data security and cybersecurity

The teaching material consists of the content of the lessons given by the lecturer, related handouts and other materials shared on Luiss Learn. Recommended readings: M. Iaselli, V. Iaselli, Nuove tecnologie, sicurezza e protezione dei dati, Giuffré editore, 2024

Acquisition: lectures, podcasts and online quizzes Practice: guest speakers, case study and simulation Investigation: analyzing ideas and information in a range of materials and resources, using legal databases to collect and analyze data and comparing texts Collaboration: small group project, discussing others’ output and building joint output Discussion: seminars, group based class discussion, online forums and synchronous and asynchronous discussion Production: essays, reports, presentations and blogs

The final grade, expressed out of 30, will derive from the evaluation of the following items for the respective percentage share: 20% attendance 10% active participation during classes 50% intermediate tests 20% final exam (oral) N.B. The grade obtained at the outcome of the exam of this Laboratory will participate for the share of 1/7 in the final grade which will be attributed to the outcome of the exam of the Macchine intelligenti e diritto (MID1) course and which regularly falls within the curricular average grade of each student.