Human-AI Interaction and Collaboration
Human-AI Interaction and Collaboration
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USDThe integration of AI into information systems will affect the way users interface with these systems. This exploration of the interaction and collaboration between humans and AI reveals its potential and challenges, covering issues such as data privacy, credibility of results, misinformation, and search interactions. Later chapters delve into application domains such as healthcare and scientific discovery. In addition to providing new perspectives on and methods for developing AI technology and designing more humane and efficient artificial intelligence systems, the book also reveals the shortcomings of artificial intelligence technologies through case studies and puts forward corresponding countermeasures and suggestions. This book is ideal for researchers, students, and industry practitioners interested in enhancing human-centered AI systems and insights for future research.
- Shows AI technologies in action through case studies in different contexts from knowledge discovery to social media
- Fosters user-centric solutions to challenges faced in AI systems
- Covers ethical considerations and the incorporation of ethics in system design
Reviews & endorsements
‘This book offers a comprehensive exploration of the dynamic interaction and collaboration between humans and AI across various domains. It tackles both the opportunities and challenges presented by AI, highlighting its potential to enhance productivity, ethical considerations, and its role in shaping the future of industries such as healthcare and education. A valuable resource for anyone interested in understanding the multifaceted impact of AI.’ Chuanfu Chen, Senior Professor of Humanities and Social Sciences, Wuhan University, China
Product details
October 2025Hardback
9781009587853
320 pages
229 × 152 mm
Not yet published - available from October 2025
Table of Contents
- Contributor biographies
- Preface
- 1. Introduction Dan Wu, Guoye Sun and Shaobo Liang
- 2. User Interaction for Human-AI Interaction and Collaboration Dan Wu and Qingyue Guo
- 3. Privacy Identification of Human-Generative AI Interaction Dan Wu and Guoye Sun
- 4. Credibility Assessment of Human-Generative AI Interaction Yuxiang Chris Zhao, Shijie Song and Yutian Jing
- 5. AI-supported Crowdsourcing for Knowledge Sharing Chei Sian Lee, Dion Hoe-Lian Goh, Hang Guo, Kok Khiang Lim and Qian Wu
- 6. AI-supported Search Interaction for Enhancing Users' Understanding Shaobo Liang and Chenrui Shi
- 7. AI for Human and Misinformation Interactions: A Case of Social Media Nannan Huang, Xiuzhen Zhang and Jia Tina Du
- 8. Effective Human-AI Collaborative Intelligence Zhuoren Jiang and Xiaozhong Liu
- 9. Human-AI Collaboration for Identifying Health Information Wants Zhuochun Li, Zhimeng Luo, Ning Zou, Bo Xie and Daqing He
- 10. Human-AI Collaboration for Scientific Discovery Shuo Zhao, Yang Liu, Jiayu Wan, Tan Tang and Xin Li
- 11. Challenges of Generative AI on Human-AI Interaction and Collaboration Shaobo Liang and Cai Yiting
- 12. Conclusion Dan Wu, Guoye Sun and Shaobo Liang.
