@misc{Kula_Daniel_Web_2024,
 author={Kula, Daniel},
 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={In the age of artificial intelligence (AI) and widespread web scraping, artworks available on the internet are copied daily for the purpose of obtaining training data for AI models. In the U.S., where many companies are providing AI-based solutions, we are seeing an increase in the number of lawsuits related to this issue. The providers of these solutions defend themselves by invoking the doctrine of fair use. In the same cases in Europe, the arguments will most likely focus on the exceptions to the exclusive rights introduced by the EU legislator in directive (EU) 2019/790 of the European Parliament and of the Council. However, an analysis of the exceptions introduced by the directive leads to the conclusion that these regulations do not in fact remain optimal from the perspective of rightholders or scrapers.},
 type={text},
 title={Web scraping na potrzeby szkolenia sztucznej inteligencji a sytuacja autora},
 doi={https://doi.org/10.34616/150806},
 keywords={webscraping, text and data mining, DSM Directive, fair use, artificial intelligence, machine learning, deep learning, large language models, use restriction, author’s rights},
}