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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
PART I: Explainable AI1. Are AI models Explainable, Interpretable, and Understandable?2. Explanation Using Interpretable Models3. Explanation Using Model-Agnostic Methods4. Explanation Using Examples5. Explanation of Ensemble Models6. Explanation of Deep Learning Models PART II: User-Centered AI Design and Development Process7. User-centered explanation interfaces for effective communication between users and AI-based systems8. Mind perception of human-centered AI: Effects of unfavorable social conditions on user experience of AI9. Designing user interfaces for AI-based decision support systems PART III: Applications in Human-AI Interaction11. Review on recent AI/ML studies about manufacturing systems12. AI in BCI13. AI in Human-Robot Interaction14. AI in Healthcare15. AI in Decision Making16. TBD PART IV: Ethics, Privacy and Policy in Human-AI Interaction17. Ethics of AI in academic and public discourse18. Designing explainable artificial intelligence from policy perspectives19. AI governance20. TBD
