Jul 2026· Bulletin of the Chinese Academy of Sciences· Vol 41, pp. 1454-1467· 0 citations· 10 references
TL;DR
This study systematically reviews the “AI+Science” strategies from major science and technology powers and regions, analyzes their strategic objectives, core components, and key policy measures, while also offers insights and recommendations.
Abstract
Abstract Artificial intelligence (AI) is transitioning from a research aid to a scientific discovery agent. The new paradigm of “AI + Science” (AI for Science, AI4S) – the intelligent science paradigm (or the fifth paradigm of science) – characterized by the deep integration of artificial intelligence into the entire process of scientific discovery, is rapidly emerging and becoming a “new agent” for intelligent and autonomous execution of scientific discovery and technological invention as well as a key force in reshaping the human knowledge production system and the global landscape of technological competition. The intervention of AI in the field of knowledge production is an unprecedented major event in the history of human civilization, indicating that another type of knowledge production subject besides humans has officially made its debut. In order to seize the benefits brought by this scientific paradigm revolution, major science and technology powers – including the United States, the United Kingdom, and Japan – and regions have unanimously introduced “AI+Science” strategies during October and November 2025, striving to seek new technological hegemony in the new era of technological revolution. This study systematically reviews the “AI+Science” strategies from major science and technology powers and regions, analyzes their strategic objectives, core components, and key policy measures, while also offers insights and recommendations.
The advancement of AI in science raises broader questions concerning the division of cognitive labour between human researchers and machines, and a typology of AI systems used in research is proposed, ranging from specialised scientific AI through scientific AI assistants and agents to hybrid experimental systems that combine computation and physical experimentation.
P. Jedlička· Teorie vědy / Theory of Scie...· 0 citations
This article examines the emerging paradigm of agentic AI for scientific discovery, traces the conceptual shift from tools to agents, lays out a six-stage workflow spanning literature synthesis to manuscript generation, and reviews practical systems in chemistry, equation discovery, materials science, and general machine learning research.
Alexander Taktakidze· Longevity Horizon· 0 citations
A survey of the past and future of AI Scientists: machines capable of automating science, which have the potential to transform science and create a new form of science that will create a new form of science and transform the world.
Bridging Literature, Agents, and Zero-gap Experimentation (BLAZE), a paradigm of socialized scientific intelligence, makes discovery more traceable, reproducible, and cumulative while preserving human creativity, judgment, and responsibility.
Xinjie Yao, Xingxin Xu, Xiyuan Gao et al.· 0 citations
AI Agents are driving the transformation of sci-tech intelligence analysis from "human-in-the-loop" to "human-on-the-loop," enabling intelligent and pipeline-based intelligence production processes.
Hangqi Yang· World Journal of Information...· 0 citations
The 70th anniversary of the 1956 Dartmouth Summer Research Project offers an occasion to celebrate artificial intelligence's extraordinary trajectory from a bold hypothesis about machine simulation of intelligence to a transformative force reshaping science, medicine, and environmental stewardship. This editorial traces key technological milestones across seven decades, from early symbolic reasoning to today's agentic systems capable of autonomously generating hypotheses and accelerating discovery. It then examines promising future directions, with particular emphasis on AI's rapidly expanding role in scientific research from protein structure prediction to AI co-scientists that collaborate with researchers in real time. Far from a source of apprehension, AI stands as one of the most powerful tools ever devised for expanding the frontiers of human knowledge, provided we guide its development with wisdom, responsibility, and a steadfast commitment to human flourishing.
Jingyu Lin, P. Hua, Chang-Er Chen et al.· Artificial Intelligence &...· 0 citations