Beyond Quantity

Research with Subsymbolic AI

Andreas Sudmann, Anna Echterholter, Markus Ramsauer , Fabian Retkowski

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English

Transcript Verlag
23 April 2024

Research methods: general; Artificial intelligence

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 masters 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?

Edited by: Andreas Sudmann, Anna Echterholter, Markus Ramsauer, Fabian Retkowski, Jens Schroter
Imprint: Transcript Verlag
Country of Publication: Germany
Dimensions: Height: 23mm, Width: 15mm,
Weight: 393g
ISBN: 9783837667660
ISBN 10: 3837667669
Pages: 360
Publication Date: 23 April 2024
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

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 Echterh�lter (Prof. Dr.) is professor of history of science at Universit�t 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 Universit�t Wien. Fabian Retkowski is PhD candidate in computer science at the Institute of Anthropomatics at Karlsruhe Institute of Technology. Jens Schr�ter (Prof. Dr.) holds the Chair of Media Studies at Rheinische Friedrich-Wilhelms-Universit�t Bonn. His main research area is the theory and history of digital media. Alexander Waibel (Prof. Dr.) works at the Institute of Anthropomatics at Karlsruhe Institute of Technology. His main research areas are artificial intelligence, machine learning, automatic speech recognition & translation, multimodal and perceptual user interfaces as well as neural networks.