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Infrastructural intelligence: Contemporary entanglements between neuroscience and AI

Type of publication Peer-reviewed
Publikationsform Contribution to book (peer-reviewed)
Author Bruder Johannes,
Project Machine Love? Kreativitätskulturen in elektronischer Musik und Softwareentwicklung
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Contribution to book (peer-reviewed)

Book Vital Models - The Making and Use of Models in the Brain Sciences
Editor , Rose Nikolas; , McLean Sam; , Mahfoud Tara
Publisher Academic Press, Cambridge Massachusetts
Page(s) 101 - 128
ISBN 9780128042151
Title of proceedings Vital Models - The Making and Use of Models in the Brain Sciences
DOI 10.1016/bs.pbr.2017.06.004

Abstract

In this chapter, I reflect on contemporary entanglements between artificial intelligence and the neurosciences by tracing the development of Google's recent DeepMind algorithms back to their roots in neuroscientific studies of episodic memory and imagination. Google promotes a new form of “infrastructural intelligence,” which excels by constantly reassessing its cognitive architecture in exchange with a cloud of data that surrounds it, and exhibits putatively human capacities such as intuition. I argue that such (re)alignments of biological and artificial intelligence have been enabled by a paradigmatic infrastructuralization of the brain in contemporary neuroscience. This infrastructuralization is based in methodologies that epistemically liken the brain to complex systems of an entirely different scale (i.e., global logistics) and has given rise to diverse research efforts that target the neuronal infrastructures of higher cognitive functions such as empathy and creativity. What is at stake in this process is no less than the shape of brains to come and a revised understanding of the intelligent and creative social subject.
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