The Computocene Era: Epistemological Machines and the Search for Algorithmic Fairness

Abstract

In the context of total digital transformation, algorithms have ceased to be neutral data-processing tools, evolving into active architects of social interaction. This article provides a critical reflection on this shift within the Computocene era, where algorithmic systems act as full-scale agents shaping a new epistemological reality. The aim of the study is to reveal the mechanisms of how algorithmization influences the processes of cognition and public communication. Employing a sociotechnical approach and the framework of critical algorithm studies, the author conceptualizes algorithms as epistemological machines – socio-technical apparatuses that structure human experience by substituting cognitive understanding with statistical relevance. The research results demonstrate that the functioning of epistemological machines based on principles of performative prediction and mechanistic achromatism leads to systemic risks: social polarization, the formation of echo chambers, and cognitive decline. The article argues for a transition from purely technical regulation to a model of algorithmic fairness, encompassing distributive, procedural, and interactional levels. As a practical measure to protect individual digital sovereignty, the author proposes the implementation of output transparency standards and mandatory labeling for AI-generated content. Such reforms will not only increase trust in digital content but also create a basis for a fairer distribution of rights and responsibilities in the creative industry. The study concludes that algorithms represent a new form of social intelligence that requires not just technological control but also profound philosophical reflection. Protecting individual digital sovereignty is impossible without strict standards of transparency, ensuring that users can distinguish between machine-generated results and human creativity, thereby mitigating the manipulative potential of epistemological machines and preserving human agency in the automated digital era.