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26 Bialostockie Studia Prawnicze 25 (2021)
Bias in Artificial Intelligence Systems

handle is hein.journals/bialspw26 and id is 385 raw text is: Bialystok Legal Studies
Bialostockie Studia Prawnicze
2021 vol. 26 nr 3
S C  e n d o                                   DOI: 10.15290/bsp.2021.26.03.02
Received: 19.12.2020
Accepted: 25.03.2021
Rafal Rejmaniak
University of Bialystok, Poland
r.rejmaniak@uwb.edu.pl
ORCID ID: https://orcid.org/0000-0003-1908-5844
Bias in Artificial Intelligence Systems
Abstract: 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 Al 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 Al systems and the role of humans in creating it. The analysis shows that Al
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.
Keywords: Al discrimination, Al fairness, algorithmic bias, artificial intelligence
Introduction
Technological solutions based on artificial intelligence (AI) are being used more
and more widely in various spheres of human activity. AI systems are deployed in
both the private and the public sectors. The widespread use of such solutions is
motivated by the potential benefits, which are hard to overestimate - from making
production processes more efficient or analysing large quantities of data at speeds
far exceeding human capabilities to forecasting future events. One of the frequently
cited properties of AI systems, said to give them an advantage over humans in
performing certain types of tasks, is the greater objectivity of their 'decisions' and

© Faculty of Law, University of Bialystok, Poland

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