Book contents
- Human–AI Interaction and Collaboration
- Reviews
- Human–AI Interaction and Collaboration
- Copyright page
- Contents
- Contributors
- Preface
- 1 Introduction
- 2 User Interaction for Human–AI Interaction and Collaboration
- 3 Privacy Identification of Human–Generative AI Interaction
- 4 Credibility Assessment of Human–Generative AI Interaction
- 5 AI-supported Crowdsourcing for Knowledge Sharing
- 6 AI-supported Search Interaction for Enhancing Users’ Understanding
- 7 AI for Human and Misinformation Interactions
- 8 Effective Human–AI Collaborative Intelligence
- 9 Human–AI Collaboration for Identifying Health Information Wants
- Chapter 10 Human–AI Collaboration for Scientific Discovery
- 11 Challenges of Generative AI on Human–AI Interaction and Collaboration
- 12 Conclusion
- References
1 - Introduction
Published online by Cambridge University Press: 19 September 2025
Book contents
- Human–AI Interaction and Collaboration
- Reviews
- Human–AI Interaction and Collaboration
- Copyright page
- Contents
- Contributors
- Preface
- 1 Introduction
- 2 User Interaction for Human–AI Interaction and Collaboration
- 3 Privacy Identification of Human–Generative AI Interaction
- 4 Credibility Assessment of Human–Generative AI Interaction
- 5 AI-supported Crowdsourcing for Knowledge Sharing
- 6 AI-supported Search Interaction for Enhancing Users’ Understanding
- 7 AI for Human and Misinformation Interactions
- 8 Effective Human–AI Collaborative Intelligence
- 9 Human–AI Collaboration for Identifying Health Information Wants
- Chapter 10 Human–AI Collaboration for Scientific Discovery
- 11 Challenges of Generative AI on Human–AI Interaction and Collaboration
- 12 Conclusion
- References
Summary
In the technological wave of the twenty-first century, artificial intelligence (AI), as a transformative technology, is rapidly reshaping our society, economy, and daily life. Since the concept of AI was first proposed, this field has experienced many technological innovations and application expansions. Artificial intelligence has experienced three booms in the past half century and has developed rapidly. In the 1960s, marked by the Turing test, the application of knowledge reasoning systems and other technologies set off the first boom. Computer scientists at that time began to explore how to let computers simulate human intelligence. Early AI research focused on rule systems and logical reasoning. The rise of expert systems and artificial neural networks brought a second wave of enthusiasm (McDermott, 1982). The third boom is marked by deep learning and big data, especially the widespread application of artificial intelligence-generated content represented by ChatGPT. During this period, AI technology shifted from traditional rule systems to methods that relied on algorithms to learn patterns from data. The rise of deep learning enabled AI to achieve significant breakthroughs in areas such as image recognition and natural language processing.
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- Type
- Chapter
- Information
- Human-AI Interaction and Collaboration , pp. 1 - 13Publisher: Cambridge University PressPrint publication year: 2025
References
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