Intuition, AI, and the Making of Computational Cultures (2025)
What happens when intuition becomes algorithmic? This discussion paper explores how computational cultures increasingly produce more-than-human forms of intuition.
publications
Browse the latest research publications associated with the project
The Intuitive and the Counter-Intuitive: AI and the affective ideologies of common sense (2024)
This article explores how the transatlantic post-war quest to engineer common sense via computational means has profoundly shaped both the social logics of machine learning systems and the sensorial politics of everyday knowledge production.
What does Lauren Berlant Teach Us About Networked Affect? (2024)
The most significant lessons Berlant’s work imparts with respect to algorithmic life, we will argue, concern the affective workings and implications of mediation, genre, and infrastructure in our digital age.
Intuition as a “trained thing”: Sensing, thinking, and speculating in computational cultures (2023)
Bringing affect theory and speculative philosophies to bear on computational histories and cultures, this article explores the continuing implications of post-war efforts to make intuition a measurable and indexable mode of anticipatory knowledge
Introduction: Lauren Berlant and Media Theory (2023)
In this Introduction to our special section on ‘Lauren Berlant and Media Theory’, I argue, with our contributors, that both appreciating and extending Berlant’s vital contributions to media theory requires addressing the distinctive place of ‘mediati