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OverviewHow 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 masters 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? Full Product DetailsAuthor: Andreas Sudmann , Anna Echterholter , Markus Ramsauer , Fabian RetkowskiPublisher: Transcript Verlag Imprint: Transcript Verlag Weight: 0.393kg ISBN: 9783837667660ISBN 10: 3837667669 Pages: 360 Publication Date: 23 April 2024 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Out of stock The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available. Table of ContentsReviewsAuthor InformationAndreas Sudmann (PD Dr.) is a media scholar at the universities of Bochum and Bonn in Germany. His research interests include AI, digital cultures, media theory, history of media, and media critique. Anna Echterh�lter (Prof. Dr.) is professor of history of science at Universit�t Wien. Her main research areas are the history of data and German colonialism. Markus Ramsauer is PhD candidate in history of science at the Department of History at Universit�t Wien. Fabian Retkowski is PhD candidate in computer science at the Institute of Anthropomatics at Karlsruhe Institute of Technology. Jens Schr�ter (Prof. Dr.) holds the Chair of Media Studies at Rheinische Friedrich-Wilhelms-Universit�t Bonn. His main research area is the theory and history of digital media. Alexander Waibel (Prof. Dr.) works at the Institute of Anthropomatics at Karlsruhe Institute of Technology. His main research areas are artificial intelligence, machine learning, automatic speech recognition & translation, multimodal and perceptual user interfaces as well as neural networks. Tab Content 6Author Website:Countries AvailableAll regions |