PERSON
Matthieu Queloz
Swiss philosopher (b. 1989) whose 2025 application of Shklar's liberalism of fear to personalized AI advisory systems produced the most influential contemporary extension of Shklar's framework to contemporary technology — and the scholarly work that most directly informs this volume's analysis.
Matthieu Queloz is a Swiss philosopher, Assistant Professor at the University of Bern, and author whose 2025 paper applying Shklar's framework to personalized AI advisory systems constitutes one of the most important contemporary works on AI ethics from within the liberal political philosophical tradition. His scholarly focus on pragmatist and genealogical approaches to political theory — drawing on Bernard Williams and Shklar in particular — equips him with the specific tools required to analyze AI systems not primarily as technical objects but as political-institutional arrangements whose effects operate through familiar mechanisms of power, classification, and vulnerability.
In The You On AI Field Guide
Queloz's 2025 analysis identifies three asymmetries that AI advisory systems produce between builders and users: epistemic, structural, and temporal. The epistemic asymmetry is the information differential between those who understand the system and those who interact with it. The structural asymmetry is the institutional differential between those who design the