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As we stand at the precipice of an AI revolution in 2024, it is manifest that the integration of AI in scientific research has gained significant momentum. Researchers across diverse disciplines are leveraging the power of AI to streamline their workflows, uncover novel insights, and accelerate the pace of scientific discovery. From automating tedious data analysis tasks to generating hypotheses and aiding in the writing process, AI has become an indispensable tool in the modern researcher’s arsenal. It is in this context that we embark on the creation of this book, AI for Rock Dynamics. Our motivation stems from the recognition that AI has the potential to transform how we synthesize and present scientific knowledge, while acknowledging the complexity and rigor required in academic writing. However, it is equally important to recognize the limitations of LLMs. Our journey in creating this book has revealed both the potential and limitations of AI in academic writing. While LLMs excel at processing vast amounts of information and handling non-deterministic reasoning, they also face significant constraints. These limitations include their dependence on training data and challenges in grasping domain-specific nuances. It is precisely these limitations that drove us to continuously explore the boundaries of interaction between artificial intelligence and human expertise during the creation of this book. We assembled a team of over 20 experts from various subfields of rock dynamics to collaborate with the AI system, carefully reviewing, validating, and refining the AI-generated content. This process highlighted the crucial role of human intelligence in guiding and optimizing the AI output. However, we must also acknowledge that despite our best efforts, the content of this book may still contain some inconsistencies or inaccuracies. This further underscores the current limitations of AI technology, particularly LLMs, when dealing with specialized domain knowledge. Through this book, we hope to contribute to the ongoing conversation about the role of AI in academic publishing and to provide a case study of its application in the field of rock dynamics. We believe that this exploration will not only shed light on the potential benefits and challenges of AI-assisted writing but also inspire other researchers to consider how they might leverage these technologies in their own work. The creation of AI for Rock Dynamics has been a transformative experience for the entire author team. This collaborative endeavor has not only deepened our understanding of the field but also opened our eyes to the immense potential of interdisciplinary cooperation and AI-assisted research. The success of this project has ignited a spark of excitement and possibility for the future of rock dynamics research. The integration of AI technologies into the research process holds immense potential for accelerating the pace of discovery, handling large volumes of data, and facilitating more efficient knowledge sharing. As we move forward, it is crucial to approach these developments with a discerning eye, ensuring that AI serves to augment, rather than replace, human expertise. As a researcher, I am fully aware of the importance and transformative power of open science. The creative process of this book itself is a vivid practice of the concept of open science. We have experienced extensive knowledge sharing, interdisciplinary collaboration, and harmonious interaction among different stakeholders. Although this book focuses on rock dynamics, the open science practices have enlightening significance for the entire academic community. I firmly believe that upholding the basic values of openness, transparency, and collaboration, has far-reaching significance for the development of science. Looking ahead, we envision this book as a catalyst for further innovation and collaboration within the field of rock dynamics and beyond. By showcasing the power of interdisciplinary collaboration and AI-assisted research, we hope to inspire researchers, practitioners, and students to embrace these new frontiers and push the boundaries of what is possible. In conclusion, the journey of creating AI for Rock Dynamics has been a transformative experience for the author team, offering valuable lessons on the power of collaboration and the potential of AI-assisted research. As we look to the future, we are filled with optimism and excitement for the continued evolution of rock dynamics research. It is our sincere hope that this book will serve as a source of inspiration and knowledge for all those who seek to contribute to this dynamic and essential field. As we conclude this preface, we would like to express our deepest gratitude to all those who have supported and contributed to the creation of “Recent Research Progress of Rock Dynamics.” First and foremost, we extend our appreciation to the China Association for Science and Technology (CAST) for their unwavering support and guidance. Their commitment to advancing scientific research and promoting technological innovation has been instrumental in bringing this project to fruition. We also extend our gratitude to the China National Publications Import and Export (Group) Corporation (CNPIEC) for their unwavering support and belief in the potential of this project. Your commitment to advancing scientific knowledge and fostering international cooperation has been truly remarkable. As the parent company of Kexin, they have demonstrated remarkable foresight in embracing technological innovation in scientific publishing.