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Beyond Quantity: Research with Subsymbolic AI
[Sammelwerk]
(Hrsg.)
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... mehr
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?... weniger
Thesaurusschlagwörter
Digitalisierung; Technologie; Digitale Medien; künstliche Intelligenz; Informatik
Klassifikation
Technikfolgenabschätzung
Wissenschaftssoziologie, Wissenschaftsforschung, Technikforschung, Techniksoziologie
Freie Schlagwörter
AI; Machine Learning; Artificial Neural Networks; Subsymbolic AI; Research on Research; Sociology of Media; Sociology of Science; Media Studies
Sprache Dokument
Englisch
Publikationsjahr
2023
Verlag
transcript Verlag
Erscheinungsort
Bielefeld
Seitenangabe
359 S.
Schriftenreihe
KI-Kritik / AI Critique, 6
DOI
https://doi.org/10.14361/9783839467664
ISSN
2703-0555
ISBN
978-3-8394-6766-4
Status
Veröffentlichungsversion; begutachtet