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Human-Centered Artificial Intelligence: Research and Applications

Editat de Chang S. Nam, Jae-Yoon Jung, Sangwon Lee
en Limba Engleză Paperback – 17 mai 2022
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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Specificații

ISBN-13: 9780323856485
ISBN-10: 0323856489
Pagini: 312
Ilustrații: 85 illustrations (60 in full color)
Dimensiuni: 152 x 229 x 22 mm
Greutate: 0.42 kg
Editura: ELSEVIER SCIENCE

Public țintă

Graduate students, researchers, academics and professionals in the areas of human factors, robotics, social psychology, neuroscience, computer science, and engineering psychology.

Cuprins

PART I: Explainable AI 1. Are AI models Explainable, Interpretable, and Understandable? 2. Explanation Using Interpretable Models 3. Explanation Using Model-Agnostic Methods 4. Explanation Using Examples 5. Explanation of Ensemble Models 6. Explanation of Deep Learning Models
PART II: User-Centered AI Design and Development Process 7. User-centered explanation interfaces for effective communication between users and AI-based systems 8. Mind perception of human-centered AI: Effects of unfavorable social conditions on user experience of AI 9. Designing user interfaces for AI-based decision support systems
PART III: Applications in Human-AI Interaction 11. Review on recent AI/ML studies about manufacturing systems 12. AI in BCI 13. AI in Human-Robot Interaction 14. AI in Healthcare 15. AI in Decision Making 16. TBD
PART IV: Ethics, Privacy and Policy in Human-AI Interaction 17. Ethics of AI in academic and public discourse 18. Designing explainable artificial intelligence from policy perspectives 19. AI governance 20. TBD