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    Legal and ethical aspects of the use of artificial intelligence tools in healthcare
    (Oficyna Wydawnicza AFM Uniwersytetu Andrzeja Frycza Modrzewskiego w Krakowie, 2025) Szudejko, Piotr
    The use of artificial intelligence in healthcare offers unprecedented opportunities of development in diagnostics and treatment. AI’s ability to aggregate and analyze large datasets significantly improves diagnostic accuracy and predictive capabilities, yet raises concerns about patient autonomy, data privacy, and equitable access. The ‘black box’ problem and the risk of potential errors in diagnosis or treatment further complicate AI usage in medical practice. Existing regulations, such as the EU AI Act, provide foundational governance but require refinement to address specific challenges of healthcare. This study advocates for harmonized international standards, robust data protection frameworks. A new patients’ right to human-provided healthcare is also proposed.
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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
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    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?