Technological Aspects of Generative AI in the Context of Copyright

This in-depth analysis explains the statistical nature of generative AI and how training on copyright-protected data results in persistent functional dependencies with respect to the used data. It highlights the challenges of attribution and novelty detection in these high-dimensional models, emphasizing the limitations of current methodologies. The study provides technical recommendations for traceability and output assessment mechanisms. This study is commissioned by the European Parliament’s Policy Department for Justice, Civil Liberties and Institutional Affairs at the request of the Committee on Legal Affairs.