Beyond Quantity : Research with Subsymbolic AI
(eBook)
Contributors
Apprich, Clemens, Contributor
Biau, Gérard, Contributor
Bloch, Isabelle, Contributor
Breuer, Johannes, Contributor
Echterhölter, Anna, Contributor
Biau, Gérard, Contributor
Bloch, Isabelle, Contributor
Breuer, Johannes, Contributor
Echterhölter, Anna, Contributor
Published
Bielefeld : transcript Verlag,, [2023].
Format
eBook
ISBN
9783839467664
Status
Description
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Language
English
UPC
10.1515/9783839467664
Notes
Restrictions on Access
Open Access https://purl.org/coar/access_right/c_abf2 unrestricted online access star
Description
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?
Funding Information
funded by VolkswagenStiftung
System Details
Mode of access: Internet via World Wide Web.
Terms Governing Use and Reproduction
This eBook is made available Open Access under a CC BY 4.0 license: https://creativecommons.org/licenses/by/4.0
Language
In English.