Ethics and legal dimensions of data science

Provided by: 

S.ANNA

Sede: 

Sant'Anna

Lecturers: 

Giovani COMANDE' (coord.)

Semester: 

2

Hours: 

10

Exam: 

Y

Educational Goals: 

The course introduces the candidates to the main ethics and legal issues related to data science, algorithms regulation, the application of Machine Learning techniques and the production of AI. It focuses, among else, on principles such as accountability, transparency, data protection by design/default, bias and discrimination prevention and their impact on data science practice. Legal and ethical implication of computational capacity.
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