Human-Centered Artificial Intelligence: Research and Applications
Editat de Chang S. Nam, Jae-Yoon Jung, Sangwon Leeen Limba Engleză Paperback – 17 mai 2022
- 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
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
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