Ethics and Law of Data and Artificial Intelligence

Learning Goals

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.

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

B

Curriculum Industry
TAF Type

B

Curriculum Health
TAF Type

B

Curriculum Economy
TAF Type

B

SSD

SPS/07 IUS/02

ECTS

6

Semester

2

Lecturers

Francesco Miele
Marta Infantino