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Beyond Quantity Research with Subsymbolic AI

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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...

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Bibliographic Details
Other Authors: Sudmann, Andreas (Editor), Echterhölter, Anna (Editor), Ramsauer, Markus (Editor), Retkowski, Fabian (Editor), Schröter, Jens (Editor), Waibel, Alexander (Editor)
Format: Electronic Book Chapter
Language:English
Published: Bielefeld transcript Verlag 2023
Series:KI-Kritik / AI Critique
Subjects:
Media studies
Impact of science & technology on society
AI
Machine Learning
Artificial Neural Networks
Subsymbolic AI
Research on Research
Digitalization
Technology
Digital Media
Sociology of Media
Sociology of Science
Computer Sciences
Media Studies
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Summary: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?
Physical Description:1 electronic resource (360 p.)
ISBN:9783839467664
9783837667660
9783732867660
Access:Open Access

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