Beyond Quantity

Autor(en)
Anna Maria Echterhölter, Andreas Sudmann, Markus Ramsauer, Fabian Retkowski, Jens Schröter, Alexander Waibel
Abstrakt

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(en)
Institut für Geschichte
Externe Organisation(en)
Universität Regensburg, Ruhr-Universität Bochum (RUB), Karlsruher Institut für Technologie, Unknown External Organisation Unbekannt/undefiniert
Anzahl der Seiten
361
Publikationsdatum
11-2023
Peer-reviewed
Ja
ÖFOS 2012
601008 Geschichtswissenschaft
ASJC Scopus Sachgebiete
Allgemeine Sozialwissenschaften
Link zum Portal
https://ucrisportal.univie.ac.at/de/publications/084fd698-bb52-498a-b7bf-950f66b1534a