Beyond Quantity

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 (PD Dr.) ist Medienwissenschaftler an den Universitäten in Bochum und Bonn. Seine Forschungsschwerpunkte liegen u.a. in Künstlicher Intelligenz, digitalen Kulturen, Medientheorie, Mediengeschichte und Medienkritik.

Anna Echterhölter (Prof. Dr.) is professor of history of science at Universität 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 Universität Wien.

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

Jens Schröter (Prof. Dr.) ist Professor für Medienkulturwissenschaft in der Abteilung für Medienwissenschaft an der Rheinischen Friedrich-Wilhelms-Universität Bonn.