The rapid development of artificial intelligence (AI) technology has precipitated the emergence of AI driven scientific paradigms, which have been efficaciously employed in the domains of scientific research and innovation across numerous fields. This has promoted the high-quality development of scientific research. Concurrently, the scientific paradigm driven by artificial intelligence faces corresponding challenges due to the problems of limited scientific knowledge system, lack of interpretability, and distortion of results in artificial intelligence models. In this situation, it is necessary to deepen the research work model of human-intelligence collaboration, accelerate the development of interpretable artificial intelligence models, and establish and improve the working mechanisms specifically for these artificial intelligence models. These measures will address the challenges faced by the scientific paradigm driven by artificial intelligence and promote the development of the scientific paradigm under the influence of artificial intelligence.