M.11. Opacity, Subjectivity, and Pedagogy in Algorithmic Times

This panel explores how the pervasive presence of artificial intelligence and algorithmic infrastructures reshapes the conditions of educational experience, subject formation, and pedagogical encounter. Moving beyond the instrumental use of digital technologies, the panel addresses AI as a cognitive and environmental architecture that filters reality, anticipates interpretation, and constrains the epistemic space of freedom. Drawing on philosophy of education, critical pedagogy, and media theory, contributors will investigate how subjectivity, autonomy, and ethical formation are challenged—or potentially reconfigured—by algorithmic environments. Particular attention will be given to the role of opacity, vulnerability, and unpredictability as educational values that resist the logics of optimization and predictive design. The panel aims to foster interdisciplinary dialogue across educational theory, digital ethics, and philosophy, emphasizing the urgency of a pedagogical stance capable of resisting anticipatory control and reclaiming the eventfulness of human experience. Contributions are welcome from scholars exploring theoretical, empirical, or practice-based approaches to the pedagogical consequences of AI.