Beyond Quantity: Research with Subsymbolic AI

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?

Andreas Sudmann (Edited by)
Andreas Sudmann (PD Dr.) works at the Department of Media Studies at Rheinische Friedrich-Wilhelms-Universität Bonn. His main research areas are the history and media infrastructures of artificial intelligence, digital culture as well as the aesthetics and politics of visual media.

Anna Echterhölter (Edited by)
Anna Echterhölter (Prof. Dr.) holds the professorship for »Modern History: History of Science« at Universität Wien. Her main research areas are the history of technology, history of science as well as the history of economics.

Markus Ramsauer (Edited by)
Markus Ramsauer is PhD candidate in history of science at the Department of History at Universität Wien.

Fabian Retkowski (Edited by)
Fabian Retkowski is PhD candidate in computer science at the Institute of Anthropomatics at Karlsruhe Institute of Technology.

Jens Schröter (Edited by)
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.

Alexander Waibel (Edited by)
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.