From 19th February to 7th March 2024

E-Course Artificial Intelligence: Unraveling AI under the European legal framework (2nd Edition)

Vera Lúcia Raposo

Admission requirements:
English proficiency

6:00 PM to 7:30 PM on business days (Lisbon timezone)

Number of sessions:
21 hours, seminar style

Teaching method:
E-learning (remote teaching via the Zoom platform). Sessions will be recorded.

Language of instruction:

Tuition Fee:
700€ (special group rates are available: 30% discount for institutions sending at least 5 attendees). 10% discount for NOVA School of Law Alumni and participants who have enrolled in the Jurisnova course on the Law of the Metaverse.

Course content:
The course will delve into AI technologies, offering a comprehensive understanding of their current state and future trends. It will elucidate the intricate legal landscape surrounding AI, emphasizing the Proposed Regulation on AI (the AIA), which is still under discussion, while addressing its potential gaps, inconsistencies, and the legal ramifications. Furthermore, the course will analyse existing and forthcoming European legal texts that bear a close relationship with the field of AI. The goal is to equip professionals with a profound comprehension of the legal intricacies and prepare them for the forthcoming legislative challenges in the domain of artificial intelligence.

Course objective:
The course aims to prepare professionals (both legal and non-legal) whose activities involve the development, manufacture, use, or certification of AI systems to better understand the applicable legal framework and its legal consequences, with a particular emphasis on preparing for the upcoming legislative challenges.

Target audience:
AI developers, lawyers, judges, public officials involved in operating and/or approving and certifying AI systems, and researchers.

Certification and credits:
4 ECTS. Participants who successfully complete this course will receive a certificate attesting to the successful completion of this ECTS course at level 7 under the European qualification framework (master level). Attendance of at least 80% of the sessions will give rise to a certificate of attendance.

The concluding assignment for the course is a reflective diary, ranging between 10,000 and 12,000 words, focusing on one or more of the topics covered throughout the course. The successful conclusion of this assignment is necessary for the conclusion certificate, but not for the certificate of attendance. Estimated 112 hours of work for those wishing to submit their final work for the purpose of assessment and certification.


19 February
What is AI
João Leite (NOVA School of Science and Technology – NOVA University)

20 February
The AIA and the EU’s common values
Markus Frischhut (MCI The Entrepreneurial School)

21 February
AIA: Supervision and non-compliance
Santa Slokenberga (Faculty of Law – Uppsala University)

22 February
AI, biases and discrimination
Tina van der Linden (Vrije Universiteit Amsterdam)

23 February
Low-risk AI systems and the AIA
Lee Andrew Bygrave (Faculty of Law – University of Oslo)

26 February
High-risk AI systems in the AIA
Martin Ebers (RAILS, Faculty of Law – Tartu University)

27 February
Human oversight in the AIA
Colin Gavaghan (Bristol Digital Futures Institute – Bristol University)

28 February
Forbidden AI systems in the AIA
Rostam Newirth (Faculty of Law – University of Macao)

29 February
Compensation for harm caused by AI
Fabrizio Esposito (NOVA School of Law, WhatNext.Law, NOVA University)

1 March
AI and data protection
Pin Lean Lau (Brunel Law School – Brunel University London)

4 March
AI and IP
Giulia Priora (NOVA School of Law, NOVA IPSI – NOVA University)

5 March
The AIA and the Machine Regulation
Tobias Mahler (Faculty of Law – University of Oslo)

6 March
AI transparency and explainability
Vera Lúcia Raposo (NOVA School of Law, FutureHealth / WhatNext.Law, NOVA University)

7 March
AI, ethical regulation and corporate social responsibility
Andrew J Charlesworth (Law School – Bristol University)


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