Thomas Krendl Gilbert

Thomas Krendl Gilbert is an interdisciplinary Ph.D. candidate in Machine Ethics and Epistemology at UC Berkeley. He investigates the ethical and political predicaments that emerge when artificial intelligence reshapes the contexts of human decision-making. His work examines how specific algorithmic learning procedures reframe classical ethical questions and recall the foundations of democratic political philosophy, namely the significance of popular sovereignty for resolving ambiguities in norms. This work has concrete implications for the design of automated vehicle systems that are fair for distinct subpopulations, safe when enmeshed with municipal institutions, and accountable to public concerns.