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First draft of General-Purpose Artificial Intelligence Code of Practice

Published on | 1 month ago

Programmes Digital, Industry & Space   AI, data & cloud  

The European Commission has published the first draft of the General-Purpose Artificial Intelligence (AI) Code of Practice.

The rules governing general-purpose AI models under the AI Act will come into application in August 2025. The Code of Practice aims to facilitate the proper implementation of these rules and will play a crucial role in guiding the future development and deployment of trustworthy and safe general-purpose AI models in the EU. Therefore, the code will be relevant for stakeholders engaged in this field.

Key aspects of the Code include details on transparency and enforcement of copyright-related rules for providers of general-purpose AI model, as well as a taxonomy of systemic risks, risk assessment methodologies, and mitigation measures for providers of advanced general-purpose AI models which may pose systemic risks.

The draft was prepared by independent experts appointed by the AI Office. This first draft is based on the contributions from a multi-stakeholder consultation organised by the AI Office, as well as a dedicated workshop that brought together providers of general-purpose AI models. 

More information on the upcoming code of practice can be found on the dedicated Commission website and Q&A overview.

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PBNv2 - a MSCA ITN in the field of automotive R&D

The Marie SkÅ‚odowska-Curie Action (MSCA) European Innovative Training Network “PBNv2 - Next generation Pass-By Noise approaches for new powertrain vehicles” started in May 2017. Their research has the shared objective of investigating the possibilities to decrease pass-by noise of vehicles.

The project is a collaboration between 17 research institutions and companies in the European automotive R&D and provides a learning environment for 14 PhD fellows. The Belgian partner is the Noise and Vibration Research Group of KU Leuven, and this project is one of the many Horizon 2020 MSCA Innovative Training Networks that the KU Leuven research group participates in.