Filed under book | Tags: · abstraction, algorithm, archaeology, artificial intelligence, code, data, diagram, error, information science, information theory, knowledge, machine learning, mathematics, neural networks, programming, theory
“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.”
Publisher MIT Press, November 2017
ISBN 9780262036825, 0262036827
PDF (removed on 2018-8-20 upon request from publisher)
Draft and code samples on GIT
Ruth Catlow, Marc Garrett, Nathan Jones, Sam Skinner (eds.): Artists Re:thinking the Blockchain (2017)
Filed under book | Tags: · algorithm, art, bitcoin, blockchain, cryptocurrency, data, money, trust, value
“The blockchain is widely heralded as the new internet – another dimension in an ever-faster, ever-more-powerful interlocking of ideas, actions and values. Principally the blockchain is a ledger distributed across a large array of machines that enables digital ownership and exchange without a central administering body. Within the arts it has profound implications as both a means of organising and distributing material, and as a new subject and medium for artistic exploration. This landmark publication brings together a diverse array of artists and researchers engaged with the blockchain, unpacking, critiquing and marking the arrival of it on the cultural landscape for a broad readership across the arts and humanities.”
Contributors: César Escudero Andaluz, Jaya Klara Brekke, Theodoros Chiotis, Ami Clarke, Simon Denny, The Design Informatics Research Centre (Edinburgh), Max Dovey, Mat Dryhurst, Primavera De Filippi, Peter Gomes, Elias Haase, Juhee Hahm, Max Hampshire, Kimberley ter Heerdt, Holly Herndon, Helen Kaplinsky, Paul Kolling, Elli Kuruş, Nikki Loef, Bjørn Magnhildøen, Rob Myers, Martín Nadal, Rachel O’Dwyer, Edward Picot, Paul Seidler, Hito Steyerl, Surfatial, Lina Theodorou, Pablo Velasco, Ben Vickers, Mark Waugh, Cecilia Wee, and Martin Zeilinger.
Publisher Torque Editions & Furtherfield, London, 2017
ISBN 0993248748, 9780993248740
via Torque Editions
Jennifer Gabrys: Program Earth: Environmental Sensing Technology and the Making of a Computational Planet (2016)
Filed under book | Tags: · citizenship, city, climate change, computation, data, earth, ecology, environment, experience, individuation, participation, sensors, technology, urbanism
“Sensors are everywhere. Small, flexible, economical, and computationally powerful, they operate ubiquitously in environments. They compile massive amounts of data, including information about air, water, and climate. Never before has such a volume of environmental data been so broadly collected or so widely available.
Grappling with the consequences of wiring our world, Program Earth examines how sensor technologies are programming our environments. As Jennifer Gabrys points out, sensors do not merely record information about an environment. Rather, they generate new environments and environmental relations. At the same time, they give a voice to the entities they monitor: to animals, plants, people, and inanimate objects. This book looks at the ways in which sensors converge with environments to map ecological processes, to track the migration of animals, to check pollutants, to facilitate citizen participation, and to program infrastructure. Through discussing particular instances where sensors are deployed for environmental study and citizen engagement across three areas of environmental sensing, from wild sensing to pollution sensing and urban sensing, Program Earth asks how sensor technologies specifically contribute to new environmental conditions. What are the implications for wiring up environments? How do sensor applications not only program environments, but also program the sorts of citizens and collectives we might become?
Program Earth suggests that the sensor-based monitoring of Earth offers the prospect of making new environments not simply as an extension of the human but rather as new “technogeographies” that connect technology, nature, and people.”
Publisher University of Minnesota Press, 2016
Electronic Mediations series, 49
ISBN 9780816693122, 0816693129
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