Ethics and Regulation of Artificial Intelligence

General characterization

Prerequisites

Available soon

Bibliography

Available soon

Teaching method

Lectures; peer presentations; moderated in-class discussions.

Evaluation method

The evaluation can be carried out in two ways:

i) Final assessment: Final exam

and/or

ii) Ongoing assessment:

(a) Participation in classes - 30%

(b) Written report, to be presented at the end of the semester, on an issue to be previously agreed with the professor - 70%

Subject matter

Part I - About AI

1. What is AI?


2. The main challenges raised by AI

Part II - About the applicable regime for AI

3. The AI Regulation (AIA)
   
   
   
   1. History of the AIA
   
   
   2. The risk models
   
   
   3. Critical analysis of the AIA
   
   
   
   


4. Liability for damages caused involving AI

Part III - AI in specific domains

5. AI in justice.


6. AI in healthcare

Programs

Programs where the course is taught: