The student must acquire a basic knowledge of sociological, ethical and giuridical methodologies, in order to understand notions and applications in these areas. The student will need to understand main social, ethical, giuridical issues of AI and of Data management and privacy, in order to assess the risks involved in an AI and Data Science project.
Ethics and Law of Data and Artificial Intelligence
Learning Goals
Program in pills
Overview of the mail social, ethical and giuridical challenges raised by the application of AI and machine leaning. Introduction to GDPR and data-related privacy issues. Social perception of AI and data science.
Area
Ethical-Legal-Social-Economical Aspects
Curriculum Foundations
TAF Type
Curriculum Industry
TAF Type
Curriculum Health
TAF Type
Curriculum Economy
TAF Type
SSD
ECTS
Semester
Lecturers
Francesco Miele
Marta Infantino