Human-Centered Artificial Intelligence

Research and Applications
Herausgegeben:Nam, Chang S.; Jung, Jae-Yoon; Lee, Sangwon

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Academic Press / Elsevier Science & Technology
• Artikelnr. des Verlages: C2020-0-02460-6
• Seitenzahl: 312
• Erscheinungstermin: 18. Mai 2022
• Englisch
• Abmessung: 150mm x 226mm x 22mm
• Gewicht: 520g
• ISBN-13: 9780323856485
• ISBN-10: 0323856489
• Artikelnr.: 63301472

Autorenporträt

Chang S. Nam is currently a Professor of Industrial and Systems Engineering at North Carolina State University (NCSU), USA. He is also an associated faculty in the UNC/NCSU Joint Department of Biomedical Engineering, Department of Psychology, and Brain Research Imaging Center (BRIC) at UNC. He received a PhD at Virginia Tech. His research interests center around brain-computer interfaces, computational neuroscience, neuroergonomics, and human-AI/Robot/Automation interaction. He is the editor of "Brain-Computer Interfaces Handbook: Technological and Theoretical Advances? (with Drs. Nijholt and Lotte, CRC Press), "Neuroergonomics: Principles and Practices (Springer), "Mobile Brain-Body Imaging and the Neuroscience of Art, Innovation and Creativity (with Contreras-Vidal et al., Springer), "Trust in Human-Robot Interaction: Research and Applications? (with Lyons, Elsevier), and "Human-centered AI: Research and Applications? (with Jung & Lee, Elsevier). Currently, Nam serves as the Ed

itor-in-Chief of the journal Brain-Computer Interfaces.

Inhaltsangabe

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