AI-Cafe: Legal approach to AI Licensing Dynamics


The AI Cafe presents the Speakers: Rubén Cano: IP / ICT Associate at Baker McKenzie 
and Carlos Muñoz: Tech & Regulatory Affairs Counsel at Hugging Face

Description: Licensing dynamics play a core role in AI-related markets. Some stakeholders are more and more interested in openly releasing some of the AI features by means of open source and/or creative commons licenses. However, these legal templates were not designed at the time with AI in mind, and therefore it is not clear whether these are well adapted to serve as licensing mechanisms for new artifacts such as machine learning models or datasets. Institutions such as the Open Source Initiative or Creative Commons are currently exploring the brave new world of AI. in the meanwhile, AI communities have reacted and new licenses, such as responsible AI licenses (RAIL) have been drafted and are increasingly used to distribute ML models. In this session, the speakers shall provide a brief overview of main licensing aspects, current AI licensing dynamics and challenges to this regard.

Short CV: 
Rubén Cano is based in Madrid and works as an Intellectual Property - Information and Communications Technology Associate for Baker McKenzie. He studied Law and Business Administration at the University of Alicante and Panthéon-Sorbonne University and holds an LL.M. in Intellectual Property and Information Technology.
CV Carlos:
Carlos is Tech & Regulatory Affairs Counsel at Hugging Face, he has been a consultant for the OECD on AI governance and regulatory experimentation, where he continues to serve on OECD’s Network of Experts on AI. He was previously PhD researcher at the Max Planck Institute for Innovation and Competition, focusing on the interactions between open source and standards from an IP and competition law angle. Carlos is nowadays driving the efforts for the adoption of Responsible AI Licenses, he previously drove the licensing efforts at BigScience to release a multilingual Large Language Model, and currently drives licensing at BigCode.

Ruben Cano
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