Intuition, AI, and the Making of Computational Cultures (2025)
Header image generated using the Flux AI model and prompts that explore Ai concepts and historical figures.
What happens when intuition becomes algorithmic? This discussion paper explores how computational cultures increasingly produce more-than-human forms of intuition.
What happens when intuition becomes algorithmic? Whether understood as an embodied hunch, direct sensing, or fast-thinking without rational deliberation, intuition is vital to how we anticipate, know, and navigate our worlds. As my research investigates, the emergence of ‘artificial intuition’, however, illuminates how sensing, thinking, and speculating now involve deep entanglements of humans and digital technologies. While human intuition is associated with situated embodied knowledge and machine intuition with how artificial neural networks learn, classify, and predict by ‘extracting features from data environments’ (Amoore, 2020: 65), I explore how computational cultures increasingly produce more-than-human forms of intuition – such that human sensory and behavioural data shapes immanent machine learning decisions and human actions and insights are infiltrated by algorithmic parameters and probabilities.
Pedwell, C. (2024). ‘Speculative Machines and Us: Intuition, AI, and the Making of Computational Cultures’. Unpublished discussion paper, ISRF Social and Cultural Frameworks of Artificial Intelligence research group (February 2024).