1st Edition
Errant Intelligence A Media Theory of Machine Learning
By Clemens Apprich
Copyright 2027
168 Pages
8 B/W Illustrations
by
Routledge
168 Pages
8 B/W Illustrations
by
Routledge
168 Pages
8 B/W Illustrations
by
Routledge
Also available as eBook on:
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... Read more
Preface
Introduction
Chapter One: Dancing with Machines
Chapter Two: Talking to Machines
Chapter Three: Dreaming of Machines
Chapter Four: Learning from Machines
Conclusion
Bibliography
Index
Biography
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).
