Algorithms, Humans, and Interactions
eBook - ePub

Algorithms, Humans, and Interactions

How Do Algorithms Interact with People? Designing Meaningful AI Experiences

  1. 200 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Algorithms, Humans, and Interactions

How Do Algorithms Interact with People? Designing Meaningful AI Experiences

About this book

Amidst the rampant use of algorithmization enabled by AI, the common theme of AI systems is the human factor. Humans play an essential role in designing, developing, and operationalizing AI systems. We have a remit to ensure those systems run transparently, perform equitably, value our privacy, and effectively fulfill human needs. This book takes an interdisciplinary approach to contribute to the ongoing development of human–AI interaction with a particular focus on the "human" dimension and provides insights to improve the design of AI that could be genuinely beneficial and effectively used in society. The readers of this book will benefit by gaining insights into various perspectives about how AI has impacted people and society and how it will do so in the future, and understanding how we can design algorithm systems that are beneficial, legitimate, usable by humans, and designed considering and respecting human values. This book provides a horizontal set of guidelines and insight into how humans can be empowered by making choices about AI designs that allow them meaningful control over AI. Designing meaningful AI experiences has garnered great attention to address responsibility gaps and mitigate them by establishing conditions that enable the proper attribution of responsibility to humans. This book helps us understand the possibilities of what AI systems can do and how they can and should be integrated into our society.

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Yes, you can access Algorithms, Humans, and Interactions by Don Donghee Shin in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. Contents
  6. Preface
  7. Acknowledgments
  8. Author
  9. Endorsements
  10. Introduction
  11. Chapter 1 Algorithmic Experience
  12. Chapter 2 Algorithmic Awareness
  13. Chapter 3 Algorithmic Nudge
  14. Chapter 4 Algorithmic Credibility
  15. Chapter 5 Algorithmic Bias
  16. Chapter 6 Explainable Algorithms
  17. Chapter 7 Algorithmic Journalism: Current Trends and Future Developments
  18. Chapter 8 Human-Centered AI
  19. Epilogue
  20. Index