摘要
近年来,人工智能(AI)的迅猛发展正深刻重塑地理学的研究方式。以DeepSeek、ChatGPT等为代表的大模型,正推动地理学由“经验—实证—仿真”向“大数据与智能学习”协同驱动的多范式并行格局演进,为复杂地理问题的认识与解释提供了全新的视角与方法。顺应这一趋势,人文地理学界围绕AI与地理学的相互关系、研究范式的变革、AI的主体性及其局限等议题展开讨论,形成了若干认识:人工智能与地理学呈现双向赋能关系,其深度融合正重塑知识体系与社会生活方式;地理学者在使用AI时,需在理论建构、价值引导与情境理解中发挥主体性,强调人地系统的情境意义与知识的实践力,以建构学科新范式(如“人-机-环境”协同);尽管AI作为非人类行动体正逐步参与地理知识生产(如“数字地方感”),对人地关系复杂性的理解、空间-社会关系的诠释及地方经验的体悟与守护,仍须由地理学者自身承担,无法被AI替代。
In recent years,rapid advancements in artificial intelligence(AI)have significantly transformed geographical research methodologies.Large models such as DeepSeek and ChatGPT are catalyzing a shift in geography from the conventional"experience-empirical-simulation"approach to a multi-paradigm framework codriven by"big data and intelligent learning,"offering new perspectives and methods for understanding and interpreting complex geographical issues.In line with this tendency,the human geography community participated in comprehensive discussions regarding the interplay between AI and geography,the transformation of research paradigms,the agency of AI,and its inherent limitations.Several key insights have emerged:AI and geography are mutually empowering,and their deep integration reshapes both knowledge systems and social practices.When using AI,geographers should maintain their scholarly agency in theoretical framing,value orientation,and contextual interpretation,while emphasizing the situated meaning of human-environment systems and the practical utility of knowledge.This approach fosters a new disciplinary paradigm characterized by"human-machine-environment"synergy.Furthermore,although AI,as a non-human agent,is increasingly involved in the production of geographical knowledge(for example,the concept of a"digital sense of place"),understanding the complexity of human-environment relationships,interpreting socio-spatial dynamics,and appreciating and preserving local experiences must remain the prerogative of geographers,and cannot be supplanted by AI.
作者
林耿
叶超
黄耿志
郭文
孙云龙
周霞
郭杰
黄旭
宋小青
刘晓凤
Lin Geng;Ye Chao;Huang Gengzhi;Guo Wen;Sun Yunlong;Zhou Xia;Guo Jie;Huang Xu;Song Xiaoqing;Liu Xiaofeng(School of Geography and Planning,Sun Yat-sen University,Guangzhou 510275,China;United Research Institute for digital Humanities,Sun Yat-sen University,Guangzhou 510275,China;School of International Relations&Public Affairs,Fudan University,Shanghai 200433,China;College of Humanities and Social Development,Nanjing Agricultural University,Nanjing 210095,China;Tourism Department,Fudan University,Shanghai 200433,China;Guangzhou Institute of Geography,Guangdong Academy of Sciences,Guangzhou 510070,China;State Key Laboratory of Climate System Prediction and Risk Management,Nanjing Normal University,Nanjing 210023,China;Zhou Enlai School of Government,Nankai University,Tianjin 300350,China;Urban Governance and Design Thrust,Hong Kong University of Science and Technology(Guangzhou),Guangzhou 511453,China)
出处
《热带地理》
北大核心
2026年第1期1-16,共16页
Tropical Geography
基金
国家自然科学基金(42571239,42071178)。
关键词
人工智能
地理学者
知识生产
研究范式
主体性
Artificial Intelligence
Geographer
knowledge production
research paradigm
agency
