http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
"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."--Publisher's website.
Part I: Frameworks of explainable AI. Chapter 1. Are AI models explainable, interpretable, and understandable? / Jae-Yoon Jung and Donghyun Park -- Chapter 2. Explanation using model-agnostic methods / Min K. Sim -- Chapter 3. Explanation using examples / Hoonseok Park and Jae-Yoon Jung -- Chapter 4. Explanation of ensemble models / Josue Obregon and Jae-Yoon Jung -- Chapter 5. Explanation of deep learning models / Younghoon Lee. -- Part II: User-centered AI design and development process. Chapter 6. AI as an explanation agent and user-centered explanation interfaces for trust in AI-based systems / Sangwon Lee -- Chapter 7. Anthropomorphism in human-centered AI : determinants and consequences of applying human knowledge to AI agents / Young June Sah -- Chapter 8. Designing a pragmatic explanation for the XAI system based on the user's context and background knowledge / Sangyeon Kim, Insil Huh, Yujin Park and Sangwon Lee -- Chapter 9. Interactive reinforcement learning and error-related potential classification for implicit feedback / Sanghyun Choo and Chang S. Nam -- Chapter 10. Reinforcement learning in EEG-based human-robot interaction / Jiali Huang and Chang S. Nam. -- Part III: Applications in human-AI interaction. Chapter 11. Shopping with AI : consumers' perceived autonomy in the age of AI / Wonkyung Kim -- Chapter 12. Use of deep learning techniques in EEG-based BCI applications / Zachary Traylor and Chang S. Nam -- Chapter 13. AI in human behavior analysis / Myung Hwan Yun, Ilsun Rhiu, Wonjoon Kim, Yushin Lee and Yong Min Kim -- Chapter 14. AI in nondestructive condition assessment of concrete structures : detecting internal defects and improving prediction performance using prediction integration and data proliferation techniques / Younho Seong, Emmanuel Akyirefi Dadzie, Sun Yi and Miriam Tawiah Alabi. -- Part IV: Ethics, privacy, and policy in human-AI interaction. Chapter 15. Ethics of AI in organizations / Sean M. Noble and Veljko Dubljević -- Chapter 16. Designing XAI from policy perspectives / Taehyun Ha -- Chapter 17. Responsible AI and algorithm governance: An institutional perspective / Chankyung Pak.
edited by Chang S. Nam, Jae-Yoon Jung and Sangwon Lee.
Includes bibliographical references and index.