Bio: Xiaoling Kang joined Elsevier in 2007. Her current role is Director of Global Strategic Networks for China. She engages and establishes strategic partnership with key academic and governmental stakeholders who share a passion for improving research performance, broadening access to research information and knowledge, and ensuring science delivers positive impacts on society.

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.