Event Contact


Time Speaker Description
12.00-14.00 Dr. Gianmarco Gori and Prof. Mireille Hildebrandt Prof. Mireille Hildebrandt is a Research Professor of 'Interfacing Law and Technology' at the Law & Criminology Faculty at Vrije Universiteit Brussels and holds the Chair of 'Smart Environments, Data Protection and the Rule of Law' at the Science Faculty of Radboud University in the Netherlands. Dr. Gianmarco Gori is a guest professor and postdoctoral researcher at the Research Group of Law Science Technology and Society (LSTS) at the Law Faculty of Vrije Universiteit Brussel.


In this tutorial we will focus on the extent to which Generative AI, based on ‘Large Whatever Models’, falls within the scope of the AI Act and on the kind of legal obligations that should be taken into account by the developers of Generative AI that is meant to contribute to human-centric AI.

To this end we will first unpack the legal definitions of General Purpose AI Models (GPAI Models) and General Purpose AI Systems (GPAI Systems) and explain what kind of models qualify as GPAI models and what kind of systems qualify as GPAI systems. This will be followed by an inquiry into when a GPAI system is – legally speaking – a high risk AI system and into when a GPAI model is – legally speaking – an AI model generating systemic risk.

Second, we will elicit a small set of requirements that must be met by providers and/or deployers of GPAI Systems that integrate GPAI Models. As the HAI-NET is focused on contributing to real world human-centric AI, we will not focus on the research exemption that may apply to HAI-NET research. The whole point of legal protection by design is to ensure that such protection is built into the design phase. This means that developers must be aware of the requirements that providers and/or deployers of real-world applications of their models face.

Finally, we need to emphasise that our objective is to give our audience a first taste of the legal regime that applies to real world human-centric AI systems that integrate generative AI. For more an in-depth understanding we refer to the HAI-NET report that Dr. Gori is preparing on the subject and to the Chapter that Dr. Gori and Prof. Hildebrandt are co-authoring in the Handbook of Generative AI for Human-AI Collaboration, eds. Mohamed Chetouani, Andrzej Nowak and Paul Lukowicz (Springer forthcoming).