Bio: As Customer Success Director of Elsevier, Mr. Yinhui Wu is responsible for providing research support to governments, research institutions, medical organizations, and R&D enterprises. Leveraging Elsevier's data, products, and solutions, he supports clients in advancing their research and management efforts including: accessing scientific literature and cutting-edge intelligence, enhancing academic research performance, recruiting and nurturing research talent, strengthening discipline development, improving research management efficiency, and elevating institutional influence, among other areas.

Mr. Wu brings extensive strategic management experience to his role. Previously he worked at China's Ministry of Commerce engaging in macroeconomic policy management. Mr. Wu holds a Master of Business Administration (MBA) from Massachusetts Institute of Technology and a Master of Public Administration (MPA) from Harvard University.

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.