Saving Artificial Minds
eBook - ePub

Saving Artificial Minds

Understanding and Preventing AI Suffering

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Saving Artificial Minds

Understanding and Preventing AI Suffering

About this book

This is the first book to investigate the nature and extent of artificial intelligence (AI) suffering risks. It argues that AI suffering risk is a serious near-term concern and analyzes approaches for addressing it.

AI systems are currently treated as mere objects, not as bearers of moral standing whose wellbeing may matter in its own right. However, we may soon create AI systems which are capable of suffering and thus have moral standing. This book examines the philosophy and science of AI suffering risks. Its investigation is deeply grounded in philosophy of mind, comparative psychology, the science of consciousness, AI research, and applied AI ethics. The book has three primary goals:

  • It argues that there is a significant probability that we will soon create AI systems capable of suffering
  • It presents the first systematic assessment of approaches for reducing AI suffering risks
  • It provides a rigorous overview and discussion of the most important research and ideas on AI sentience, AI agency, and the grounds of moral status

Saving Artificial Minds is essential reading for researchers and graduate students working on the philosophy or ethics of AI.

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Yes, you can access Saving Artificial Minds by Leonard Dung in PDF and/or ePUB format, as well as other popular books in Philosophy & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Endorsement Page
  3. Half Title page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. Relation to Published Material
  8. Acknowledgments
  9. 1 Introduction
  10. 2 Sentience and suffering
  11. 3 Indicators of AI sentience
  12. 4 Are near-future AI systems sentient?
  13. 5 Non-conscious suffering and AI
  14. 6 Approaches for reducing AI suffering risk
  15. 7 AI suffering, ethics, and safety
  16. 8 Conclusion and outlook
  17. Index