生成式人工智能赋能科学研究:变革影响、风险挑战与实践路径OA

In the current era of rapid technological development,generative artificial intelligence(GAI)is profoundly changing scientific research.This article delves into its transformative impact on scientific research and finds that generative artificial intelli-gence not only reshapes scientific thinking and promotes interdisciplinary integration and innovation,but also deeply embeds itself in scientific research to promote the rise of intelligent research paradigms,further optimizing scientific research processes and ac-celerating knowledge discovery and achievement transformation.However,the application of GAI in scientific research still faces difficulties such as research bias caused by data quality flaws,ethical dilemmas and disputes over research integrity and achieve-ment attribution,and security risks such as technology abuse and sensitive information leakage.To this end,targeted suggestions are proposed to strengthen the training of scientific researchers to enhance their ability to master artificial intelligence,build a collabo-rative innovation ecosystem to promote the integration of interdisciplinary resources,and improve the scientific research supervision system to ensure the standardization and sustainability of scientific research activities.To provide reference for researchers,academ-ic institutions,and policy makers,and to assist in the healthy development of scientific research with the empowerment of GAI.