Generative AI offers vast potential to accelerate research and dissemination. Researchers are applying these tools in various ways including in critical analysis, data and code generation, data and text analysis, synthesis, design, and written content generation. Generative AI can also assist in creating research ideas and proposals, fostering creativity and innovation. While generative AI has the potential to streamline many aspects of academic research, researchers should be aware of its limitations. This guide is designed to provide an overview of the considerations a researcher should review when using these tools so they can effectively incorporate them into their work and evaluate research produced with the assistance of generative AI.
Use the pull down arrow in the tab above, or the links below to view information on various areas to consider.