50323 - ARTIFICIAL INTELLIGENCE AND THE LAW
Department of Law
Course taught in English
Go to class group/s: 31
CLMG (6 credits - II sem. - OP | IUS/04) - M (6 credits - II sem. - OP | IUS/04) - IM (6 credits - II sem. - OP | IUS/04) - MM (6 credits - II sem. - OP | IUS/04) - AFC (6 credits - II sem. - OP | IUS/04) - CLELI (6 credits - II sem. - OP | IUS/04) - ACME (6 credits - II sem. - OP | IUS/04) - DES-ESS (6 credits - II sem. - OP | IUS/04) - EMIT (6 credits - II sem. - OP | IUS/04) - GIO (6 credits - II sem. - OP | IUS/04) - DSBA (6 credits - II sem. - OP | IUS/04) - PPA (6 credits - II sem. - OP | IUS/04) - FIN (6 credits - II sem. - OP | IUS/04) - AI (6 credits - II sem. - OP | IUS/04)
Course Director:
MARIA LILLA' MONTAGNANI
MARIA LILLA' MONTAGNANI
Mission & Content Summary
MISSION
Emerging digital technologies (EDTs) e.g. Internet of Things and of Services (IoT/IoS), Artificial Intelligence (AI), advanced robotics and autonomous vehicles (AV), can lead to fundamental discoveries, opening up new possibilities, and significantly improving the lives of many – in particular by bringing major benefits to our society and economy through better healthcare, more efficient public administration, stronger democratic processes, safer transport, a more competitive industry and sustainable farming. Machine-learning, for example, can be used to make more accurate and faster medical diagnoses and surgeries, carry out dangerous and repetitive tasks, and free up valuable time. This scenario has its drawbacks. In particular, it raises challenges for regulators and policymakers that have to face the ontological difficulty of foreseeing and possibly controlling the impact of EDTs on economy and society, to make sure that they are human-centric, ethical, explainable, sustainable and respectful of fundamental rights and values. Against this background, the mission of the course is to provide an understanding of the legal implications of EDTs and how the current legal framework is facing the challenges that they raise.
CONTENT SUMMARY
It is structured in 4 main modules:
- EDTs, features and challenges
- Liability issues
- Smart contracts
- Data-driven technologies and data law
Intended Learning Outcomes (ILO)
KNOWLEDGE AND UNDERSTANDING
At the end of the course student will be able to...
tbd
APPLYING KNOWLEDGE AND UNDERSTANDING
At the end of the course student will be able to...
tbd
Teaching methods
DETAILS
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Last change 02/12/2024 16:58