01621nam 2200325zu 450 991076419450332120231218202028.03-7328-6766-8(CKB)28809871900041(BIP)093235347(EXLCZ)992880987190004120231113|2023uuuu || |engur|||||||||||Beyond Quantity: Research with Subsymbolic AITranscript Verlag20231 online resource (360 p.) 9783837667660 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?Jahn-Sudmann Andreas1974-1451273Sudmann AndreasedtEchterhölter AnnaedtRamsauer MarkusedtRetkowski FabianedtSchröter JensedtWaibel AlexanderedtBOOK9910764194503321Beyond Quantity: Research with Subsymbolic AI3651365UNINA