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Beyond Quantity: Research with Subsymbolic AI (KI-Kritik) - Softcover

Andreas Sudmann; Anna Echterhölter; Alexander Wibel; Jens Schröter; Fabian Retkowski; Markus Ramsauer

 
9783837667660: Beyond Quantity: Research with Subsymbolic AI (KI-Kritik)
Softcover
ISBN 10: 3837667669 ISBN 13: 9783837667660
Verlag: transcript, 2023

Inhaltsangabe

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?

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Über die Autorin bzw. den Autor

Andreas Sudmann (PD Dr.) is a media scholar at the universities of Bochum and Bonn in Germany. His research interests include AI, digital cultures, media theory, history of media, and media critique. Anna Echterhölter (Prof. Dr.) is professor of history of science at Universität Wien. Her main research areas are the history of data and German colonialism. Markus Ramsauer is PhD candidate in history of science at the Department of History at Universität Wien. Fabian Retkowski is PhD candidate in computer science at the Institute of Anthropomatics at Karlsruhe Institute of Technology. Jens Schröter (Prof. Dr.) holds the Chair of Media Studies at Rheinische Friedrich-Wilhelms-Universität Bonn. His main research area is the theory and history of digital media.

Von der hinteren Coverseite

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?

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Verlag
transcript
Erscheinungsdatum
2023
Sprache
Englisch
ISBN 10 
3837667669
ISBN 13 
9783837667660
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
360
Kontakt zum Hersteller
transcript Verlag, Gero Wierichs
live@transcript-verlag.de

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Bielefeld
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Deutschland