AI & Intellectual Property
13:30-17:00 January 28

½ day

@ 2A



13:30-13:35 January 28

AI and your data: who owns the data, what if things go wrong, GDPR and AI

13:35-14:05 January 28 · with Michel Jaccard Slides

AI and copyright: computer-generated works, authorship and originality in AI

14:05-14:30 January 28 · with Ana Andrijevic

European Patent Office practice regarding AI

14:30-15:00 January 28 · with Bastian Best, Patrick Heckeler Slides

Coffee Break

15:00-15:30 January 28

Drafting the perfect invention disclosure report for an AI invention

15:30-16:00 January 28 · with Bastian Best, Patrick Heckeler Slides

Patentability of the inventions of AI

16:00-16:30 January 28 · with Ana Ramalho

Q&A (all speakers)

16:30-17:00 January 28


Ana Andrijevic

Researcher, University of Geneva

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Ana Ramalho

Professor, Maastricht University

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Bastian Best

Patent Attorney, Bardehle Pagenberg

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Michel Jaccard

Founder & Partner, id est avocats

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Patrick Heckeler

Patent Attorney, Bardehle Pagenberg

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The impact of Artificial Intelligence (AI) on business models across various sectors challenges traditional Intellectual Property (IP) legal notions like originality, creator, author, or inventiveness. Who owns the data required to train machine learning algorithms?

In case things go wrong, will the courts believe me or will they trust the algorithms? What do authorship and originality mean in AI? How to describe an AI-related invention in a disclosure report to your university or company to file a patent application?

Can AI invent, and can those inventions be patented? This track features speakers from academia and industry to explore those questions and share best practices on the IP framework around AI.


Fréderic Pont

Technology Transfer Manager, EPFL


AI & Industry

AI & Trust