Bio:Dr. ZHENG Wenwen, Head of the Research Integrity Group at the Scientometric and Evaluation Center of the Institute of Scientific and Technical Information of China (ISTIC), and holds a Ph.D. in Psychology from Beijing Normal University. She has conducted research and practice in research-integrity management and science-technology evaluation for many years, which directly support the Ministry of Science and Technology’s efforts in building research integrity. She authored and published a series of bluebooks, including the “Guidelines on the Boundary of AIGC Usage in Academic Publishing” and the “Guidelines for Preventing Integrity Risks in Academic Journal Submission”.

Abstract: Generative AI (GenAI) is revolutionizing scientific publishing and research by enhancing knowledge discovery, efficiency, and interdisciplinary collaboration. Researchers increasingly use GenAI tools to analyze large datasets, summarize findings, and streamline workflows such as reviewer selection, journal matching, and plagiarism detection. This adoption accelerates innovation and improves communication within the scientific community. However, the rapid integration of GenAI raises ethical concerns regarding transparency, accountability, and research integrity. Ensuring responsible use involves promoting awareness of policies and fostering a collaborative effort among researchers, stakeholders, and policymakers. Developing trustworthy AI tools is essential to maintain rigorous and reliable scientific knowledge while mitigating potential risks. Addressing these challenges and opportunities will enable the scientific community to harness GenAI’s full potential, driving progress responsibly and ethically. Overall, while GenAI offers significant benefits for accelerating discovery and collaboration, careful oversight is vital to ensure its role remains beneficial and trustworthy in advancing science.