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Human-centered artificial intelligence : research and applications /

"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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Nam, Chang S. (Editor ), Jung, Jae-Yoon (Editor ), Lee, Sangwon, 1979- (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Academic Press, [2022]
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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 Dubljevi�c
  • Chapter 16. Designing XAI from policy perspectives / Taehyun Ha
  • Chapter 17. Responsible AI and algorithm governance: An institutional perspective / Chankyung Pak.