The cover of Human–AI Interaction and Collaboration.

A new academic work titled Human–AI Interaction and Collaboration, co-edited by Professor Wu Dan and Associate Professor Liang Shaobo from the School of Information Management at Wuhan University, has been published by Cambridge University Press and is now available globally.

The book features 12 chapters exploring advanced topics, including human-AI interaction models, privacy identification and trust assessment in generative AI, AI-supported knowledge crowdsourcing and search interaction, and human-machine collaborative intelligence for health information identification.

It offers a comprehensive theoretical framework, design principles, and practical applications from an interdisciplinary perspective, focusing on the interaction and collaboration between humans and intelligent systems in the AI era. The work aims to foster the sustainable, trustworthy, and responsible development of AI technologies.

Contributions to the book came from a diverse group of interdisciplinary scholars affiliated with prestigious institutions globally, such as the University of Pittsburgh, the University of Texas at Austin, and Worcester Polytechnic Institute, among others.

Cambridge University Press, founded in 1534, is one of the most authoritative institutions in the field of international academic publishing.