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://ucris.univie.ac.at/portal/en/publications/beyond-quantity(084fd698-bb52-498a-b7bf-950f66b1534a).html