TY - JOUR AB - Following Bernard Stiegler’s perspective on an ‘originary technicity’, this article explores the relationship between imagination and politics in light of recent developments in neural networks technologies (also known as machine learning algorithms). It examines how this new technology is reshaping the political role and place of human imagination. Furthermore, it uses Vilém Flusser’s terminology to examine to what extent this technology can be understood as a new ‘technical faculty of the imagination’. The first part will argue, following Stiegler and Flusser, for a type of approach to the notion of imagination that challenges the human-technology opposition. The second part will introduce the topic of neural networks technologies using the specific example of algorithmic image recognition systems and then, through the prism of the Kant-Hume debate on the foundations of universal knowledge, it will set three possible perspectives on the question of an algorithmic imagination. The third and final section will return to Flusser to see how the relation between imagination and politics is shifting from a modern and human-centred perspective to a post-historical and post-anthropocentric one. AU - Claudio Celis, María Jesús Schultz DA - 2021/12// DO - 10.16997/ahip.1016 IS - 1 VL - 2 PB - University of Westminster Press PY - 2021 TI - Notes on an Algorithmic Faculty of the Imagination T2 - Anthropocenes – Human, Inhuman, Posthuman UR - https://www.anthropocenes.net/article/id/1016/ ER -