Infrastructural Intelligence. Contemporary Entanglements between neuroscience and AI
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Authors
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Publication date
2017
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01A - Journal article
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Parent work
Progress in Brain Research
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Volume
233
Issue / Number
Pages / Duration
101-128
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Elsevier
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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.
Keywords
Science & Technology Studies, Neuroscience, Artificial Intelligence
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ISBN
ISSN
1875-7855
0079-6123
0079-6123
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
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Peer review of the complete publication
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Citation
Bruder, J. (2017). Infrastructural Intelligence. Contemporary Entanglements between neuroscience and AI. Progress in Brain Research, 233, 101–128. https://doi.org/10.1016/bs.pbr.2017.06.004