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Beyond Quantity: Research with Subsymbolic AI
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(ed.)
Abstract How do artificial neural networks and other forms of artificial intelligence interfere with methods and practices in the sciences? Which interdisciplinary epistemological challenges arise when we think about the use of AI beyond its dependency on big data? Not only the natural sciences, but also the... view more
How do artificial neural networks and other forms of artificial intelligence interfere with methods and practices in the sciences? Which interdisciplinary epistemological challenges arise when we think about the use of AI beyond its dependency on big data? Not only the natural sciences, but also the social sciences and the humanities seem to be increasingly affected by current approaches of subsymbolic AI, which master problems of quality (fuzziness, uncertainty) in a hitherto unknown way. But what are the conditions, implications, and effects of these (potential) epistemic transformations and how must research on AI be configured to address them adequately?... view less
Keywords
digitalization; technology; digital media; artificial intelligence; computer science
Classification
Technology Assessment
Sociology of Science, Sociology of Technology, Research on Science and Technology
Free Keywords
AI; Machine Learning; Artificial Neural Networks; Subsymbolic AI; Research on Research; Sociology of Media; Sociology of Science; Media Studies
Document language
English
Publication Year
2023
Publisher
transcript Verlag
City
Bielefeld
Page/Pages
359 p.
Series
KI-Kritik / AI Critique, 6
DOI
https://doi.org/10.14361/9783839467664
ISSN
2703-0555
ISBN
978-3-8394-6766-4
Status
Published Version; reviewed