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AI boosts scientific output and impact but narrows research topics, study finds.
Researchers using AI publish 3.02 times more papers, advance 1.37 years faster, and receive 4.85 times more citations than peers without AI, a study by the University of Chicago and Tsinghua University finds.
Analyzing over 41 million scientific papers across six natural science fields, the team identified 310,957 AI-augmented publications using a Google-based model and human verification.
While AI boosts productivity and recognition, it is also narrowing the scope of research, reducing the range of topics studied by nearly 4.63 percent, likely due to AI’s reliance on large existing datasets that limit exploration in less-documented areas.
The findings, published in Nature, emerge amid growing global integration of AI in science, including Stanford’s first AI-reviewed conference and Australia’s National AI Plan.
La IA aumenta la producción científica y el impacto, pero restringe los temas de investigación, según un estudio.