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Beyond Machine Vision: How to Build a Non-Trivial Perception Machine

Abstract

Approaching the problem of artificial creativity through the lens of machine vision, this article examines the impact of computer science’s model of vision on our socio-political values and institutions. It also proposes a creative experiment in “conceptual engineering,” which entails an attempt to build a non-trivial perception machine. This idea references two science papers on the relationship between humans and machines: Heinz von Foerster’s “Perception of the Future and the Future of Perception,” in which the concept of a “non-trivial machine” was first introduced, and Gerald M. Edelman and George N. Reeke Jr.’s “Is It Possible to Construct a Perception Machine?”. Critically engaging with those papers, the author ends by constructing a conceptual scaffolding for the theory and praxis of machine perception, while addressing the wider problem of epistemic and racial (in)justice in the industry focused on getting machines to “see.”

Keywords

machine vision, computer vision, perception, imperialism, bias

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Author Biography

Joanna Zylinska

Joanna Zylinska is Professor of Media Philosophy + Critical Digital Practice at King’s College London. The author of a number of books – including AI Art: Machine Visions and Warped Dreams (Open Humanities Press, 2020), The End of Man: A Feminist Counterapocalypse (University of Minnesota Press, 2018) and Nonhuman Photography (MIT Press, 2017) – she is also involved in experimental and collaborative publishing projects, such as Photomediations (Open Humanities Press, 2016). Her own art practice involves working with different kinds of image-based media.