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Dr Michał Bąba
ORCID: 0000-0002-0909-5857
Adjunct in the Private Law Department of the Faculty of Law and Administration at the University of Opole. His research interests focus on the applications of artificial intelligence in employment, biometric data processing and the impact of cognitive algorithms on the privacy of work providers. He also researches information and its relationships with the concept of human privacy in the processes of algorithmic management of human work.
DOI: 10.33226/0032-6186.2020.3.2
JEL: K31

Algorithms are becoming the key technology of power over employees. They allow for the
formatting of both the employees themselves and the interactions between them, basically for the
single purpose — optimisation of work processes to increase productivity. From this perspective, the
employees are digital models constructed from data and information. It means that all of their
expressions revealed in the work environment will be measurable in various ways. Algorithms also
sched new light on the issue of subordination in employment. And all thanks to their "blending" into
the biometric data environment of the employees. They somehow acquire attributes of subordination
in employment by combining them with supervisory and control functions encoded in algorithmic
technology. The foregoing means that the functions programmed in this way can be used identically
in any model of employment, and thus in complete isolation from the character of the legal
relationship on the basis of which the work is provided. Therefore, a key question arises, which the
author tries to answer, whether the algorithms can be perceived as tools by which subordination is
created in isolation from the legal basis of the provided work and what consequences it has for the
employees.

Keywords: deep learning algorithms; technological subordination; algorithmic enterprises; biometric data; information.

Adjunct in the Private Law Department of the Faculty of Law and Administration at the University of Opole. His research interests focus on the applications of artificial intelligence in employment, biometric data processing and the impact of cognitive algorithms on the privacy of work providers. He also researches information and its relationships with the concept of human privacy in the processes of algorithmic management of human work.