Generative AI systems are increasingly trained on vast amounts of available source code, much of which is released under Free and Open-Source Software (FOSS) licenses.
This talk aims to provide an overview of the possible conflict between open-source licensing frameworks and the emerging practices of AI training and source code generation. It will focus on key legal issues, including the implications of using open-source code for training purposes, the notion of derivative works within the context of AI-generated outputs, and the risks associated with the reproduction of licensed code without proper attribution.
The purpose of the talk is to explore the potential legal risks arising from the use of generative AI in software development. The session seeks to highlight current legal uncertainties and to consider how open-source principles may continue to foster AI innovation without undermining digital sovereignty.
