从“可证”“可视”到“重塑”:人工智能时代历史学研究的新趋向  

From“Verifiable”“Visual”to“Reshaping”:New Trends in Historiography in the AI Era

在线阅读下载全文

作  者:李玉 程诚 LI Yu;CHENG Cheng

机构地区:[1]南京大学历史学院

出  处:《河北学刊》2025年第3期91-98,共8页Hebei Academic Journal

摘  要:人工智能(AI)为历史学研究提供了新视野与新方法。人工智能可以通过算法对历史文献进行深度分析,验证以文本为代表的旧史料,生成以数据集为代表的新史料,为历史研究提供更为客观、科学的依据。人工智能利用虚拟现实(VR)和增强现实(AR)技术,可以重现历史场景,不仅能为研究者提供可视化研究路径,还能满足次时代公众的历史阅读需求。机器算法可以从海量数据中发现隐藏的关联,辅助问题意识的产生,还能实现同声传译,打破国际化学术交流的桎梏。总体而言,人工智能在增强历史研究“可证化”的基础上,进一步促进史学“可视化”,将收史学“重塑”之效;它不只是技术工具,更是历史学者学术对话的共同体。历史学者应正视新机遇,熟悉人机交互的多模态协作,做好史学研究的传承与创新。AI provides new perspectives and methods for historical research.Through algorithms,artificial intelligence can conduct in-depth analysis of historical documents,verify old historical materials represented by texts,and provide new historical materials represented by data sets,offering a more objective and scientific basis for historical research.By utilizing virtual reality(VR)and augmented reality(AR)technologies,artificial intelligence can recreate historical scenes,which not only provides researchers with a visualized research approach but also meets the historical reading needs of the next-generation public.Machine algorithms can discover hidden correlations from massive amounts of data,assist in the generation of problem awareness,and achieve simultaneous interpretation,breaking the shackles of international academic communication.Overall,artificial intelligence not only enhances the“verifiability”of historical research but also further promotes its“visualization”,as a result,the historical studies would be reshaped.It is not just a technical tool but also a community for academic dialogue among historians.Historians should face the new opportunities,become familiar with multimodal collaboration between humans and machines,and carry out the inheritance and innovation of historical research well.

关 键 词:人工智能 历史研究 范式变革 

分 类 号:K207[历史地理—历史学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象