Machine Learners

Archaeology of a Data Practice

Adrian Mackenzie (Professor, Lancaster University)

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English

MIT Press
16 November 2017

Advertising & society; Impact of science & technology on society; History of engineering & technology; Machine learning

Series: Machine Learners

If machine learning transforms the nature of knowledge, does it also transform the practice of critical thought?

Machine learning-programming computers to learn from data-has spread across scientific disciplines, media, entertainment, and government. Medical research, autonomous vehicles, credit transaction processing, computer gaming, recommendation systems, finance, surveillance, and robotics use machine learning. Machine learning devices (sometimes understood as scientific models, sometimes as operational algorithms) anchor the field of data science. They have also become mundane mechanisms deeply embedded in a variety of systems and gadgets. In contexts from the everyday to the esoteric, machine learning is said to transform the nature of knowledge. In this book, Adrian Mackenzie investigates whether machine learning also transforms the practice of critical thinking. Mackenzie focuses on machine learners-either humans and machines or human-machine relations-situated among settings, data, and devices. The settings range from fMRI to Facebook; the data anything from cat images to DNA sequences; the devices include neural networks, support vector machines, and decision trees. He examines specific learning algorithms-writing code and writing about code-and develops an archaeology of operations that, following Foucault, views machine learning as a form of knowledge production and a strategy of power. Exploring layers of abstraction, data infrastructures, coding practices, diagrams, mathematical formalisms, and the social organization of machine learning, Mackenzie traces the mostly invisible architecture of one of the central zones of contemporary technological cultures. Mackenzie's account of machine learning locates places in which a sense of agency can take root. His archaeology of the operational formation of machine learning does not unearth the footprint of a strategic monolith but reveals the local tributaries of force that feed into the generalization and plurality of the field.

By: Adrian Mackenzie (Professor Lancaster University)
Imprint: MIT Press
Country of Publication: United States
Dimensions: Height: 229mm, Width: 178mm, Spine: 13mm
ISBN: 9780262036825
ISBN 10: 0262036827
Series: Machine Learners
Pages: 272
Publication Date: 16 November 2017
Recommended Age: From 18 years
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Adrian Mackenzie is Professor of Technological Cultures in the Department of Sociology at Lancaster University and the author of Wirelessness- Radical Empiricism in Network Cultures (MIT Press).