University diploma Artificial intelligence and intellectual property - CEIPI - Center for International Intellectual Property Studies

Training system(s): Continuing education; Initial training;

Teaching language(s) : English

Teaching methods: Fully distance learning

Objectives

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Recent advances in artificial intelligence (AI), accompanied by numerous regulatory developments, are overturning creative and innovative practices just as much as they are questioning the foundations of intellectual property (IP). Yet very few lawyers have sufficient expertise to grasp the impact of these new objects on their practice.

The "Intelligence Artiﬁcielle et Propriété Intellectuelle / Artiﬁcial Intelligence and Intellectual Property

"aims to fill this gap. The first university course exclusively dedicated to exploring the intersection between AI and IP, the courses offered over 5 modules between November and June, present the different modes of protection for AI and its products, (copyright, database law, trademark law, patents, trade secrets) as well as the rights associated with the data needed to train models. The course also includes a module dedicated to putting the societal challenges of AI into perspective (philosophy, ethics, sociology, economics, fundamental rights, responsibility), as well as a presentation of the regulatory framework framing its deployment. Another special feature of the course is that it includes an entire module dedicated to a technical introduction to the various components of an AI system (Module 1: Introduction to AI and machine learning).

This module provides a description of how the algorithms at the heart of AI work, accompanied by numerous application examples and practical exercises, without requiring any prior computer training.

The course is offered in distance mode, with group work and case study analysis throughout the year.

Presentation and organisation of the teaching team

Filename: List_of_speakers.pdf File extension: pdfFile size: 289 KB

The benefits of training

The course can be taken entirely by distance learning (the first module is offered in "hybrid" mode). Participants can, if they wish, follow this module face-to-face in Strasbourg), enabling students to progress at their own pace and according to their constraints and objectives.
At the end of the course, participants will be able to boast not only in-depth knowledge of artificial intelligence law, but also an initial understanding of the technical and IT aspects of AI.

Admission

Recruitment criteria

The target audience for the DU is anyone (students or professionals) with an M1 in law, as well as practitioners specializing in intellectual property (IP attorneys, IP lawyers). The program is also open to professionals with an interest in artificial intelligence who can demonstrate initial experience in IP.

An admissions committee examines the candidate's application file to verify IP knowledge, English language skills and motivation.

Candidates are selected on the basis of their applications.

Applying

Candidates must complete an online pre-registration form. The link will be available from 20 May.

Application campaign 2024-2025: from 20 May to 08 September 2024

Tuition fees

The 2024-2025 fees are currently being validated.

For information, the 2023-2024 fees were as follows:

Continuing education (including university fees): €3,600
Initial training: €1,030
NB: In addition to the above registration fees, all students in initial training at a higher education institution must pay:
- The Student and Campus Life Contribution (€100 in 2023-2024)
- Nnational tuition fees for enrolment in a Master's programme (€243 for 2023-2024).
- For more information, see the dedicated page on the university website.

Compulsory prerequisites

Master required
Good knowledge of English

Professional integration

Référentiel ROME

Teaching programs

Module 1: Introduction to AI and machine learning

Acquire the basic principles of computer technology and data science
Learn how to write a short program ("hello world"), compile it and run it
Learn how to write a short artificial intelligence algorithm in Python
Understand, with precise distinction, the various techniques of artificial intelligence and data science

Module 2: AI in context

Acquire a general legal culture concerning the relations between artificial intelligence and Law
Understand the ethical and societal challenges related to artificial intelligence
Understand the technical and legal cybersecurity challenges related to AI
Understand the challenges of artificial intelligence in terms of fundamental rights

Module 3: Data protection and AI, Trade secrets and AI

Understand the legal issues related to data protection: business secret, "ownership" of data, rights to personal data.
Understand the legal framework related to the circulation of data: free circulation, competition law, open licenses.

Module 4: Copyright, trademarks, designs and AI

Develop an in-depth understanding of the various issues related to the protection of artificial intelligence processes by copyright
Understand the issues related to the copyright protection of the products obtained by artificial intelligence processes: creativity, protection, ownership of rights
Understand the use of artificial intelligence for the enforcement of copyright

Module 5: Patent law and AI

Develop an in-depth understanding of all issues related to the patent protection of artificial intelligence applications and their products
Understand the use of artificial intelligence, from patent drafting to “patent landscaping”...
Understand the use of artificial intelligence for the implementation of patent rights

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