
Author: Juraj Hvorecký
Publication Date: 2023
Publication Name: Proceedings of the AISB Convention 2023
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.
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Author: Juraj Hvorecký
Publication Date: 2023
Publication Name: Proceedings of the AISB Convention 2023
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.
•• More publications:
Celetná 988/38
Prague 1
Czech Republic
This project receives funding from the Horizon EU Framework Programme under Grant Agreement No. 101086898. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Innovation Council and European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.
Celetná 988/38
Prague 1
Czech Republic
This project receives funding from the Horizon EU Framework Programme under Grant Agreement No. 101086898. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Innovation Council and European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.