Human-Centered Artificial Intelligence
eBook - ePub

Human-Centered Artificial Intelligence

Research and Applications

  1. 312 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Human-Centered Artificial Intelligence

Research and Applications

About this book

Human-Centered Artificial Intelligence: Research and Applications presents current theories, fundamentals, techniques and diverse applications of human-centered AI. Sections address the question, "are AI models explainable, interpretable and understandable?, introduce readers to the design and development process, including mind perception and human interfaces, explore various applications of human-centered AI, including human-robot interaction, healthcare and decision-making, and more. As human-centered AI aims to push the boundaries of previously limited AI solutions to bridge the gap between machine and human, this book is an ideal update on the latest advances. - Presents extensive research on human-centered AI technology - Provides different methods and techniques used to investigate human-AI interaction - Discusses open questions and challenges in trust within human-centered AI - Explores how human-centered AI changes and operates in human-machine interactions

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Yes, you can access Human-Centered Artificial Intelligence by Chang S. Nam,Jae-Yoon Jung,Sangwon Lee in PDF and/or ePUB format, as well as other popular books in Psychology & Cognitive Psychology & Cognition. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Front Matter
  3. Table of Contents
  4. Copyright
  5. Contributors
  6. Foreword
  7. Preface
  8. List of Illustrations
  9. List of Tables
  10. Chapter 1 : Are AI models explainable, interpretable, and understandable?
  11. Chapter 2 : Explanation using model-agnostic methods
  12. Chapter 3 : Explanation using examples
  13. Chapter 4 : Explanation of ensemble models
  14. Chapter 5 : Explanation of deep learning models
  15. Chapter 6 : AI as an explanation agent and user-centered explanation interfaces for trust in AI-based systems
  16. Chapter 7 : Anthropomorphism in human-centered AI: Determinants and consequences of applying human knowledge to AI agents
  17. Chapter 8 : Designing a pragmatic explanation for the XAI system based on the user's context and background knowledge
  18. Chapter 9 : Interactive reinforcement learning and error-related potential classification for implicit feedback
  19. Chapter 10 : Reinforcement learning in EEG-based human-robot interaction
  20. Chapter 11 : Shopping with AI: Consumers' perceived autonomy in the age of AI
  21. Chapter 12 : Use of deep learning techniques in EEG-based BCI applications
  22. Chapter 13 : AI in human behavior analysis
  23. Chapter 14 : AI in nondestructive condition assessment of concrete structures: Detecting internal defects and improving prediction performance using prediction integration and data proliferation techniques
  24. Chapter 15 : Ethics of AI in organizations
  25. Chapter 16 : Designing XAI from policy perspectives
  26. Chapter 17 : Responsible AI and algorithm governance: An institutional perspective
  27. Author Index
  28. Subject Index