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http://hdl.handle.net/11320/11690
Tytuł: | Bias in Artificial Intelligence Systems |
Autorzy: | Rejmaniak, Rafał |
Słowa kluczowe: | AI discrimination AI fairness algorithmic bias artificial intelligence |
Data wydania: | 2021 |
Data dodania: | 11-paź-2021 |
Wydawca: | Wydział Prawa Uniwersytetu w Białymstoku, Temida 2 |
Źródło: | Białostockie Studia Prawnicze, Vol. 26 nr 3, 2021, s. 25-42 |
Abstrakt: | Artificial intelligence systems are currently deployed in many areas of human activity. Such systems are increasingly assigned tasks that involve taking decisions about people or predicting future behaviours. These decisions are commonly regarded as fairer and more objective than those taken by humans, as AI systems are thought to be resistant to such influences as emotions or subjective beliefs. In reality, using such a system does not guarantee either objectivity or fairness. This article describes the phenomenon of bias in AI systems and the role of humans in creating it. The analysis shows that AI systems, even if operating correctly from a technical standpoint, are not guaranteed to take decisions that are more objective than those of a human, but those systems can still be used to reduce social inequalities. |
Afiliacja: | University of Białystok, Poland |
Nota biograficzna: | Rafał Rejmaniak is Assistant Professor in the Department of Historical and Legal Sciences, Theory and Philosophy of Law, and Comparative Law at the Faculty of Law, University of Białystok, Poland. |
E-mail: | r.rejmaniak@uwb.edu.pl |
URI: | http://hdl.handle.net/11320/11690 |
DOI: | 10.15290/bsp.2021.26.03.02 |
ISSN: | 1689-7404 |
metadata.dc.identifier.orcid: | 0000-0003-1908-5844 |
Typ Dokumentu: | Article |
metadata.dc.rights.uri: | https://creativecommons.org/licenses/by-nc-nd/3.0/deed.pl |
Właściciel praw: | Uznanie autorstwa-Użycie niekomercyjne-Bez utworów zależnych 3.0 Unported |
Występuje w kolekcji(ach): | Artykuły naukowe (WP) Białostockie Studia Prawnicze, 2021, Vol. 26 nr 3 |
Pliki w tej pozycji:
Plik | Opis | Rozmiar | Format | |
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BSP_26_3_R_Rejmaniak_Bias_in_Artificial_Intelligence_Systems.pdf | 210,36 kB | Adobe PDF | Otwórz |
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