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Synopsis
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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About the Author
Clemens Apprich is Professor of Media Theory and History at the University of Applied Arts Vienna, Austria. His current research focuses on computational cultures, particularly machine learning. He is the author of Technotopia: A Media Genealogy of Net Cultures (2017) and co-author of Pattern Discrimination (2019).
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Errant Intelligence (Hardcover)
Published by
Taylor & Francis Ltd, Amsterdam, 2026
ISBN 10: 9463723072
ISBN 13: 9789463723077
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Hardcover. Condition: new. Hardcover. 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. Its time to unlearn our assumptions and embrace the productive ambiguity and fallibility at the core ofmachine intelligence. 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? This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9789463723077
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Errant Intelligence (Hardcover)
Published by
Taylor & Francis Ltd, Amsterdam, 2026
ISBN 10: 9463723072
ISBN 13: 9789463723077
New
Hardcover
Seller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Hardcover. Condition: new. Hardcover. 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. Its time to unlearn our assumptions and embrace the productive ambiguity and fallibility at the core ofmachine intelligence. 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? This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9789463723077
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Errant Intelligence: A Media Theory of Machine Learning (Recursions)
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Errant Intelligence
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Condition: New. Clemens Apprich is Professor of Media Theory and History at the University of Applied Arts Vienna, Austria. His current research focuses on computational cultures, particularly machine learning. He is the author of Technotopia: A Med. Seller Inventory # 2798382836
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