Abstract: How are interaction patterns between users and artificial intelligence systems evolving in the era of digital intelligence? Through the construction of theoretical frameworks, the description of application scenarios, and the identification of potential risks, Human-AI Interaction and Collaboration provides a comprehensive analysis of the underlying logic of human-AI interaction and collaboration. The book posits "human-centered" as the paramount principle for AI systems and offers a detailed examination of how factors such as user perception, system design, and human-AI relations influence the efficacy and outcomes of collaborative synergy. While proposing mitigation strategies for potential risks, this work showcases the vast prospects of human-AI collaboration across multidisciplinary domains, including healthcare, scientific research, and finance. This work provides a theoretical foundation for future research in this field and serves as an ethical compass for AI system designers.

Key words: Human-AI interaction, Human-AI collaboration, Artificial intelligence systems, Multidisciplinary application scenarios, Book review