Beyond Quantity

Author(s)
Anna Maria Echterhölter, Andreas Sudmann, Markus Ramsauer, Fabian Retkowski, Jens Schröter, Alexander Waibel
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 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?

Organisation(s)
Department of History
External organisation(s)
Universität Regensburg (UR), Ruhr-Universität Bochum (RUB), Karlsruher Institut für Technologie, Unknown External Organisation Unbekannt/undefiniert
No. of pages
361
Publication date
11-2023
Peer reviewed
Yes
Austrian Fields of Science 2012
601008 Science of history
ASJC Scopus subject areas
Social Sciences(all)
Portal url
https://ucrisportal.univie.ac.at/en/publications/beyond-quantity(084fd698-bb52-498a-b7bf-950f66b1534a).html