DIGITAL WORKPLACE MONITORING: CONTROL, FAIRNESS AND TRUST IN ALGORITHMIC MANAGEMENT
DIGITAL WORKPLACE MONITORING: CONTROL, FAIRNESS AND TRUST IN ALGORITHMIC MANAGEMENT

Summary/Abstract: The digital transformation of employment relations has led to the rapid expansion of digital monitoring and algorithmic management phenomena that redefine power relations, professional autonomy, and organizational trust. This article analyzes the impact of these technologies on employees’ perceptions of control, fairness, and trust, highlighting the risks associated with excessive surveillance and the use of opaque decision-making algorithms. The accelerated digitalization of labor relations has given rise to new forms of organizational control based on digital monitoring and the use of algorithms in managerial processes. Far from being mere technical tools, these mechanisms directly influence professional autonomy, perceptions of fairness, and the level of trust in the employer–employee relationship. This paper proposes an integrated theoretical and legal analysis of these transformations, taking as central reference points the General Data Protection Regulation and the European Union Artificial Intelligence Act. The study shows that the legitimacy and effectiveness of digital management depend on compliance with the principles of proportionality, transparency, and algorithmic accountability, as well as on maintaining a meaningful human decision-making role within organizations. Through a theoretical-analytical approach and reference to relevant case studies, the paper emphasizes the importance of transparency, algorithmic accountability, and organizational communication in building a fair and sustainable working environment. The conclusions provide normative and managerial directions for the ethical implementation of digital monitoring in contemporary organizations.

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