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Errant Intelligence: A Media Theory of Machine Learning
Paperback
Series: Recursions
General ComputersGeneral Sociology
ISBN13: 9781041175032
Publisher: Routledge
Published: Jun 8 2026
Pages: 156
Weight: 0.54
Height: 0.36 Width: 6.14 Depth: 9.21
Language: English
Artificial intelligence is often framed as a quest to replicate the human brain, promising frictionless cognition and a future of seamless automation. But what if this pervasive narrative obscures a deeper, more errant truth?
Errant Intelligence challenges the prevailing biological and individualistic interpretations of machine learning, arguing instead for a radical understanding of machine intelligence. The book embraces the deviations, inconsistencies, and errant behaviour as fundamental to the discovery of new knowledge, moving beyond the illusion of mere optimisation. Drawing on media theory, cybernetics, and a unique psychoanalytic lens, it explores the technological unconscious of machine learning. It traces the historical roots of AI, from early automatons and the Turing machine to natural language processing and contemporary machine learning systems. Challenging the idea of an autonomous, self-generating AI, the book exposes the hidden labour, assumed logics, and inherent biases that animate its operation. It re-evaluates computational thinking, insisting on its inherently social, collective, and symbolic character, and revealing how language and logical paradoxes are not obstacles but constitutive forces that shape intelligent machines.
Errant Intelligence offers a vital new framework for understanding the profound co-evolution of human and machine learning. It's time to unlearn our assumptions and embrace the productive ambiguity and fallibility at the core of
machine intelligence.
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