Bio: Xi HAN, Elsevier Publisher for toxicology and pharmacology journals, and currently oversees approximately 10 journals within Elsevier. Xi’s role encompasses a broad range of responsibilities, including recruiting and managing the editorial teams, establishing and nurturing collaborations with international societies and institutions, and developing strategic plans to support the growth and impact of each journal. Xi joined Elsevier in September 2021 and has since contributed to the special issue publication across over 70 titles, supporting the dissemination of high-quality research in the toxicology and pharmacology field.

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.