Core Insights - The development of artificial intelligence (AI) is accelerating scientific discovery, with the 2024 Nobel Prizes in Physics and Chemistry awarded to scientists in the AI field, establishing the role of AI tools in science [2] - A paradox is revealed where the adoption of AI tools expands individual scientists' influence but narrows the focus of research fields [3][6] Group 1: Research Findings - The study analyzed over 41 million papers, with approximately 311,000 utilizing AI tools, showing that scientists using AI publish 3.02 times more papers, receive 4.84 times more citations, and become project leaders 1.37 years earlier than those who do not use AI [6] - The collective scientific focus has contracted by 4.63%, and collaboration among scientists has decreased by 22% due to the concentration of AI-assisted work in data-rich fields [6][7] Group 2: Implications and Recommendations - The research highlights the potential for AI to lead the scientific community towards "involution," focusing on optimization within a shrinking scope rather than exploring new frontiers [7] - There is a need to consciously establish mechanisms that encourage exploration and reward risk-taking in the use of AI for scientific research to balance efficiency and innovation [7]
清华大学最新Nature论文：AI能够提升科学家的能力，但可能限制整个科研领域发展
生物世界·2026-01-15 00:21