AI与人类协作重塑脑科学和社会科学的研究范式。
AI-Empowered Human Research Integrating Brain Science and Social Sciences Insights
- 提出人机协同三模式：工具、助手、参与者。
- 构建脑科学与社会科学研究的新范式。
- 适合跨学科研究者参考，推动智能科研创新。
本文探讨人工智能（AI）在提升科学研究中的变革作用，尤其在脑科学与社会科学领域。分析人类研究的本质后，主张研究者应转向人机联合研究。基于此，提出两种新研究范式：AI-脑科学研究范式与AI-社会科学研究范式。引入三种人机协作模型：AI作为研究工具（ART）、AI作为研究助手（ARA）、AI作为研究参与者（ARP）。同时阐述开展人机联合研究的方法。旨在重新定义人与AI系统的协作关系，为未来跨学科研究指明方向并激发创新。
原文摘要 · Abstract (English)
This paper explores the transformative role of artificial intelligence (AI) in enhancing scientific research, particularly in the fields of brain science and social sciences. We analyze the fundamental aspects of human research and argue that it is high time for researchers to transition to human-AI joint research. Building upon this foundation, we propose two innovative research paradigms of human-AI joint research: "AI-Brain Science Research Paradigm" and "AI-Social Sciences Research Paradigm". In these paradigms, we introduce three human-AI collaboration models: AI as a research tool (ART), AI as a research assistant (ARA), and AI as a research participant (ARP). Furthermore, we outline the methods for conducting human-AI joint research. This paper seeks to redefine the collaborative interactions between human researchers and AI system, setting the stage for future research directions and sparking innovation in this interdisciplinary field.
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