Beyond Quantity Research with Subsymbolic AI

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
Main Author: Sudmann, Andreas
Other Authors: Echterhölter, Anna, Ramsauer, Markus, Retkowski, Fabian
Format: eBook
Language:English
Published: Bielefeld transcript Verlag 2023
Series:KI-Kritik / AI Critique
Subjects:
Ai
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
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?
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (360 p.)
ISBN:9783732867660
9783839467664
9783837667660