Beyond Quantity Research with Subsymbolic AI

• Tác giả: Anna Echterhölter, Markus Ramsauer, Fabian Retkowski, Jens Schröter, Andreas Sudmann, Alexander Waibel
• Ngôn ngữ: eng
• ISBN-13: 978-3732867660
• ISBN-13: 978-3837667660
• ISBN-13: 978-3839467664
• Thông tin xuất bản: Bielefeld transcript Verlag 2023
• Mô tả vật lý: 1 electronic resource (360 p.)
• Bộ sưu tập: Tài liệu truy cập mở
• ID: 377825
• Chủ đề: 1. AI; 2. Artificial Neural Networks; 3. Machine Learning; 4. Impact of science & technology on society; 5. Media studies

Tóm tắt

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?