Beyond Quantity Research with Subsymbolic AI

• Other Authors: Sudmann, Andreas (Editor), Echterhölter, Anna (Editor), Ramsauer, Markus (Editor), Retkowski, Fabian (Editor), Schröter, Jens (Editor), Waibel, Alexander (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Bielefeld transcript Verlag 2023
• Series: KI-Kritik / AI Critique
• Subjects: Media studies; Impact of science & technology on society; AI; Machine Learning; Artificial Neural Networks; Subsymbolic AI; Research on Research; Digitalization; Technology; Digital Media; Sociology of Media; Sociology of Science; Computer Sciences; Media Studies
• Online Access: DOAB: download the publication; DOAB: description of the publication

Summary

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?

Physical Description

1 electronic resource (360 p.)

ISBN

9783839467664
9783837667660
9783732867660

Access

Open Access