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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?
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Keywords
- AI
- Artificial Neural Networks
- Computer Sciences
- Digital media
- Digitalization
- Machine learning
- Media Studies
- Research on Research
- Sociology of Media
- Sociology of Science
- Subsymbolic AI
- Technology
- thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBC Cultural and media studies::JBCT Media studies
- thema EDItEUR::P Mathematics and Science::PD Science: general issues::PDR Impact of science and technology on society
Links
DOI: 10.14361/9783839467664Editions