Artificial Intelligence text generators for overcoming language barriers in ecological research communication

Abstract

AbstractLanguage barriers can impede the dissemination of research findings, restrict collaboration and exclude non‐English‐speaking researchers from the global scientific community. To overcome this challenge, we explore the potential of Generative Artificial Intelligence (GenAI) text generators to assist non‐anglophone researchers in producing high‐quality academic texts for publication in scientific journals, with a focus on the field of ecological research. These tools can produce grammatically correct, coherent and contextually appropriate text, improving scientific communication quality. Improving scientific communication is vital in Ecology, where research findings can have important implications for the environment and public policy. GenAI text generators can generate summaries of research findings, abstracts and social media posts promoting research findings. Nonetheless, researchers must exercise caution and use these tools together with human review and editing to ensure accuracy and clarity. As natural language processing and machine learning continue to evolve, the use of GenAI text generators in scientific communication is poised to become increasingly important.