Mechanisms and Challenges of Generative AI in Transforming the Publishing Process: Taking Earth Sciences as an Example

Abstract

Currently, the rapid development of generative AI is profoundly revolutionizing the academic publishing field, especially in the earth sciences, presenting a dual effect of both efficiency improvement and risks. This paper systematically analyzes the reshaping mechanisms of AI in content production, editing and proofreading optimization, and ethical norms. The research findings are as follows: In the content production link, AI has achieved automation from text generation to multimodal content creation, but accompanied by new risks such as data fabrication, misuse of terms, and false citation of literature; in the editing and proofreading link, although AI has improved the efficiency of review and proofreading, it has limited capabilities in the identification of professional terms and the detection of academic misconduct; in terms of ethics, the author identity of AI, implicit use, and the impact on the academic evaluation system pose unprecedented challenges. To address these issues, this paper proposes countermeasures such as constructing a three-level content verification mechanism, developing domain-specific large language models, and establishing an interdisciplinary ethical governance framework. The research conclusion points out that the future of the publishing industry needs to seek a dynamic balance between technological innovation and academic integrity, and achieve the coordinated development of intelligence and standardization through technological standardization and the reconstruction of talent capabilities.