Data Protection, Law and Ai
A.Y. 2025/2026
Learning objectives
The course is meant to explain to the students the intersections between the protection of personal data and the evolution of AI systems. As a fundamental right, data protection is shaping the way that AI systems are regulated. At the end of the course, the student will be able to identify the essential elements prescribed by law in order to collect, use and process the personal data in AI context. The student should also be able to know the subjects of a data governance plan and understand the mandatory assessments that are required according both for data protection and for the level of risk of the AI system.
Expected learning outcomes
- Frame the role of data protection in AI systems
- Acquire a general knowledge of the duties related with the processing of personal data
- Know the role of Supervisory Authorities in regulating AI systems
- Understand the "by design" and "by default" principles
- Perform a data protection impact assessment
- Understand the concepts of anonymization and pseudonymization
- Acquire basics of information security for the protection of personal data required by the law
- Acquire a general knowledge of the duties related with the processing of personal data
- Know the role of Supervisory Authorities in regulating AI systems
- Understand the "by design" and "by default" principles
- Perform a data protection impact assessment
- Understand the concepts of anonymization and pseudonymization
- Acquire basics of information security for the protection of personal data required by the law
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
Course currently not available
IUS/20 - PHILOSOPHY OF LAW - University credits: 6
Lessons: 48 hours