Repozytorium eRIKA :: Przeszukiwanie wg Słowo kluczowe "text and data mining"

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Studia Prawnicze. Rozprawy i Materiały nr 2 (25), 2019
(Oficyna Wydawnicza AFM, 2019) Krawiec, Grzegorz; Bałos, Iga; Partyk, Aleksandra; Szpyt, Kamil; Więzowska-Czepiel, Beata; Czochra, Marzena; Bar, Damian; Urbanik, Grzegorz; Klimek, Paweł; Kinecka, Lucyna; Laskowski, Rafał; Ingram, Artur
Trenowanie wybranych modeli sztucznej inteligencji a uprawnienia twórców
(Oficyna Wydawnicza AFM, 2019) Bałos, Iga
Artificial Intelligence (AI) is no longer about automatization of routine or repetitive tasks. Its application extends far beyond plain computational power and efficiency. "AI-generated works" is one of the most popular research areas in this filed. It raises the question about intelligent systems singularity and their true capability to perform human-like tasks. This article examines selected models for AI training which generate works mimicking the unique style of given artists provided their works serve as input data. Certain authors, perhaps especially writers, are reluctant to accept such forms of the exploitation of their works. Even though classifi cation of AI-generated works is a challenge, significant legal issues arise at the earlier stage. Does text and data mining (TDM) infringe the copyright monopoly? Is using a collection of works of a single author as training data affects the lawfulness of a process? Are authors entitled, on the basis of their economic or moral rights, to oppose such practices?