OVERVIEW

The course is focused on the legal profiles of new technologies, expecially on the legal implications of the use of artificial intelligence by professionals, companies and public. Technological innovation has opened up scenarios on civil liability and product liability, on the protection of confidentiality, on information security, making it necessary to be aware of the European regulations.  The topic includes the study of private law, in the light of recent EU regulatory framework, and provides the skills to build AI systems compliant with the  rules.  

AIMS AND CONTENT

LEARNING OUTCOMES

The course deals with the legal implications of new technologies, with particular reference to artificial intelligence, robotics, and bioengineering. The milestones of technological evolution raise the problem of identifying the legal discipline applicable to new phenomena, prompting the need to reassess existing law to govern innovation while respecting the fundamental principles underlying the legal system without hindering the advancement of a new economic sector. The course aims to provide basic legal knowledge on the subject necessary to address the challenges posed by new technologies (artificial intelligence and robotics) in terms of protecting people's rights, both preventively (compliance) and remedially (liability and compensation), taking into account national and supranational regulations, jurisprudence, and the latest doctrinal contribution

AIMS AND LEARNING OUTCOMES

The aim of the course is to provide students with skills in the field of European and national artificial intelligence law, with a focus on private law, contracts, risk and liability, and the protection of fundamental human rights. At the end of the course, students will be able to build and use artificial intelligence tools in compliance with current legislation.

TEACHING METHODS

SYLLABUS/CONTENT

The programme includes the study of domestic and European legislation on artificial intelligence, robotics, privacy, data circulation and security. Materials are provided by the teacher  during the course and published on aulaweb. 

Plan:

1. Technological evolution and law
2. The current provisions of domestic, european and international law regarding AI.
3. Algorithms and autonomous decisions. The problem of legal and electronic personality.
4. Algorithms and predictability of judicial decisions.
5. Safety, security and liability models (medical devices, drones, smart cars, smart contracts, etc.).
6. AI and regulation of Personal Data (GDPR n. 679/2016). The case of OpenAI. The Data Governance  
7. Artificial intelligence between e-democracy and e-government

The programme contributes to the achievement of the following goals of Sustainable Development of the UN Agenda 2030:

4. Provide quality, equitable and inclusive education and learning opportunities for all
 8. Dignity in the work and economic growth - Incentivise sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all.
9. Business, innovation and infrastructure - Building resilient infrastructure and promoting innovation and fair, responsible and sustainable industrialisation

RECOMMENDED READING/BIBLIOGRAPHY

The teaching materials will be distributed during the course and made available to students on Aulaweb. We recommend reading the regulatory texts that will be explained in the class.

TEACHERS AND EXAM BOARD

Exam Board

VALENTINA DI GREGORIO (President)

LESSONS

LESSONS START

 https://corsi.unige.it/en/corsi/8719/studenti-orario

Class schedule

The timetable for this course is available here: Portale EasyAcademy

EXAMS

EXAM DESCRIPTION

The exam will carried out in  written form. For participating students, particular methods of verifying learning may be agreed upon with the teacher. An intermediate test will be held during the course. Students who do not pass the final written examination set by the lecturer during the course may take the examination in oral form on the dates fixed in the calendar

Students with certification of Specific Learning Disabilities (SLD), disabilities, or other special educational needs must contact the instructor at the beginning of the course to agree on teaching and examination methods that, while respecting the course objectives, take into account individual learning styles and provide appropriate compensatory tools. It is reminded that the request for compensatory/dispensatory measures for exams must be sent to the course instructor, the School representative, and the “Settore servizi per l'inclusione degli studenti con disabilità e con DSA” office (dsa@unige.it) at least 10 working days before the test, as per the guidelines available at the link: https://unige.it/disabilita-dsa”

ASSESSMENT METHODS