Algorithms, Judgment, and Authority: A Critical Normative Rationality from the Perspective of Neo-Kantianism
Abstract
Whether contemporary algorithmic systems constitute a normatively significant form of authority and what their legitimacy is based on are important theoretical issues in the current digital society. As judgment structures, recommendation and ranking algorithms continuously shape the visibility, temporal order and possibilities of action in the digital environment, thereby influencing individuals' ways of understanding and participating in the public world. Drawing on the theoretical resources of phenomenology, political philosophy and Neo-Kantianism, this paper constructs an evaluation framework for the legitimacy of authority with transcendental validity, reflective accountability and practical autonomy as the core. Relevant analyses show that algorithmic authority, which is often based on empirical statistics yet occupies a quasi-transcendental position, narrows the space for public reflection through opaque mechanisms and guides human behavior via adaptive feedback structures instead of resorting to rational recognition, thus undermining its normative legitimacy. At the same time, algorithmic mediation performs practical functions in the complex information environment, and its legitimacy issue does not stem from technology itself but from whether it is subject to rational scrutiny and institutional constraints. The distinction between technical validity and normative legitimacy helps to deepen the theoretical understanding of the authority structure in the artificial intelligence environment.
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