KI-Kritik / AI Critique
  1. 250 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub
Book details
Table of contents
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About This Book

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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Yes, you can access KI-Kritik / AI Critique by Andreas Sudmann, Anna Echterhölter, Markus Ramsauer, Fabian Retkowski, Jens Schröter, Alexander Waibel, Andreas Sudmann,Anna Echterhölter,Markus Ramsauer,Fabian Retkowski,Jens Schröter,Alexander Waibel in PDF and/or ePUB format, as well as other popular books in Social Sciences & Media Studies. We have over one million books available in our catalogue for you to explore.

Information

Year
2023
ISBN
9783732867660
Edition
1

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Contents
  5. Acknowledgements
  6. Introduction
  7. Research with Subsymbolic AI
  8. When Achilles met the tortoise
  9. From algorithmic thinking to thinking machines
  10. A new canary in the coal mine?
  11. Cross-interactions between AI and epistemology
  12. AI and the work of patterns
  13. Artificial Intelligence in medicine
  14. Subsymbolic, hybrid and explainable AI
  15. AI-based approaches in Cultural Heritage
  16. Interfaces of AI
  17. Media and the transformative potential of AI in the scientific field
  18. Putting the AI into social science
  19. Science in the era of ChatGPT, large language models and generative AI
  20. The current state of summarization
  21. Opacity and reproducibility in data processing
  22. AI in mathematics
  23. Artificial Intelligence as a cultural technique
  24. List of contributors