Daño psicológico y erosión del criterio en sistemas organizativos mediados por IA

The contemporary adoption of artificial intelligence in public and private organizations has largely been addressed through technical, ethical, and regulatory frameworks. However, these approaches often overlook the psychological and structural effects arising from the systematic mediation of human judgment by algorithmic systems.
This thesis presents a diagnostic analysis of structural psychological damage associated with AI implementation in complex organizational environments, focusing on the erosion of human judgment, the loss of agency, and the institutional persistence of error. Drawing on an interdisciplinary framework that integrates organizational psychology, sociology of power, political economy of technology, and critical automation studies, the work examines how the externalization of decision-making reshapes hierarchies, responsibility attribution, and legitimacy mechanisms.
The study analyzes transformations in education, expert labor, and everyday decision-making, and incorporates empirical evidence from European institutions showing a sustained increase in anxiety, depression, burnout, and social isolation in highly technologized contexts. These phenomena are interpreted as systemic effects rather than individual dysfunctions.
The thesis concludes that such psychological consequences are inherent to current models of AI adoption, which prioritize metric efficiency and institutional stability over human agency and judgment.