The article analyzes the nature of algorithmic power, rejecting the thesis of AI's inherent authoritarianism in favor of the concept of institutional potential. The author argues that it is not the technology itself, but the socio-technical architecture—comprising data, procedures, and a lack of oversight—that determines the political character of these systems. A key element is the distinction between four types of opacity (technical, organizational, cognitive, and institutional) as well as the distinction between explainability and interpretability. The text emphasizes that the right to challenge a machine's decision does not require a mathematical understanding of the model, but rather transparent decision-making premises and effective appeal processes, which are essential for upholding the principles of the rule of law in the era of automation.
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