Qianyue Hao, Fengli Xu, Yong Li, James Evans
AI tools enhance individual scientists' productivity but reduce the diversity of research topics, potentially leading to a concentration of scientific focus.
To comprehensively analyze the impact of AI tools on scientific research at both individual and collective levels, particularly examining their effect on the diversity of research topics.
By analyzing large-scale paper data and the timing of AI tool adoption, quantitatively measure changes in researcher productivity, citation impact, and research topic diversity before and after the use of AI tools.
Provides evidence that AI tools increase individual researchers' productivity and citations but decrease the diversity of research topics across the entire research community. This offers important insights into understanding the dual impact of AI on scientific progress.