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From epistemology to ethics of deep networks

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    0577275 - FLÚ 2024 RIV GB eng C - Conference Paper (international conference)
    Hvorecký, Juraj
    From epistemology to ethics of deep networks.
    Proceedings of the AISB Convention 2023. Swansea: Swansea University, 2023 - (Müller, B.), s. 23-24. ISBN 978-1-908187-85-7.
    [AISB Convention 2023. Swansea (GB), 13.04.2023-14.04.2023]
    R&D Projects: GA ČR(CZ) GA20-14445S
    Institutional support: RVO:67985955
    Keywords : neural networks * adversarial attacks * epistemology * ethics * blackboxing
    OECD category: Philosophy, History and Philosophy of science and technology
    https://aisb.org.uk/wp-content/uploads/2023/05/aisb2023.pdf

    Blame for various missteps of AI is often assigned to either programmers or users. The discovery adversarial attacks and the complex epistemology behind neural networks leads us to skepticism toward their capacity to work efficiently in domains where robust human categories are central. Ethics is one such a domain and AI systems might be particularly unsuitable for operations in this domain.
    Permanent Link: https://hdl.handle.net/11104/0346996

     
     
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