@misc{Jurowicz_Jakub_Zwielokrotnianie_2024,
 author={Jurowicz, Jakub and Paja, Małgorzata},
 copyright={Copyright by Wydział Prawa, Administracji i Ekonomii Uniwersytetu Wrocławskiego 2024},
 address={Wrocław},
 howpublished={online},
 year={2024},
 publisher={E-Wydawnictwo. Prawnicza i Ekonomiczna Biblioteka Cyfrowa. Wydział Prawa, Administracji i Ekonomii Uniwersytetu Wrocławskiego},
 language={pol},
 abstract={With regard to so-called large language models, one of the main issues is the threat to the exclusive rights of creators – and in particular – copyright. The aforementioned threat materialises both at the stage of the creation of the LLM and at the stage of the subsequent functioning of such model. On the subject of the use of others’ works, the disputes in the legal doctrine are mainly related to the scope of fair use of works within the framework of text and data mining, to the so-called phenomenon of memorisation of training data by LLM and to the phenomenon of so-called regurgitation, i.e. the “return” of fragments of protected training data by LLM in generated content. The disputes indicated were fuelled by the procedure of the latest AI legislation, i.e. primarily the Artificial Intelligence Act, of which subsequent versions appeared in Q1 2024 – and the latest version of which was adopted on 13th of June 2024 – including references to provisions on text and data mining under the Digital Single Market Copyright Directive. The purpose of this text is to analyse the different stages of the creation and operation of LLM and to verify the reproduction of protected works that takes place during these stages in the context of the possible application of the fair use provisions.},
 type={text},
 title={Zwielokrotnianie utworów w procesach tworzenia i funkcjonowania dużych modeli językowych},
 doi={https://doi.org/10.34616/150805},
 keywords={AI, work, exploitation, fair use, text and data mining, TDM},
}