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The cultural life of machine learning : an incursion into critical AI studies
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Roberge, Jonathan and Castelle, Michael, eds. (2020) The cultural life of machine learning : an incursion into critical AI studies. Palgrave Macmillan. ISBN 9783030562854
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Official URL: https://www.springer.com/gp/book/9783030562854?utm...
Abstract
While theories of human learning have proliferated in the last century, machine learning is a rather less reflexive enterprise. What conception of learning do the techniques of machine learning—especially in its recent connectionist forms—imply or induce? To answer this question, we explore the perspectives of the Soviet cultural-historical psychologist Lev Vygotsky, contrasting his socially-grounded understandings of mediated concept learning and the “zone of proximal development” with the methodologies of supervised and unsupervised machine learning. Such a comparison highlights the dependence of machine learning on microgenesis (repetitive, behaviorist training processes) and phylogenesis (the architectural “evolution” of models) at the expense of ontogenesis (the lifelong, interactional development of an individual in society), and thus provides new insights into the fundamental limits of contemporary artificial intelligence.
Item Type: | Book | ||||
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Subjects: | H Social Sciences > HM Sociology | ||||
Divisions: | Faculty of Social Sciences > Centre for Interdisciplinary Methodologies | ||||
Publisher: | Palgrave Macmillan | ||||
ISBN: | 9783030562854 | ||||
Editor: | Roberge, Jonathan and Castelle, Michael | ||||
Official Date: | 1 December 2020 | ||||
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Status: | Not Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
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