期刊文献+

生成式人工智能赋能古丝绸之路交通文化遗产保护与传承研究

Empowerment of generative artificial intelligence in the protection and inheritance of transportation cultural heritage along the ancient Silk Road
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摘要 伴随人工智能带来的文化业态颠覆性变革,生成式人工智能超越传统实体文化遗产保护的解释范式,正通过深度学习与生成模型领域的创新,实现前所未有的保护效果与文化再生,为古丝绸之路交通文化遗产的保护与传承提供了全新的理论解释框架和技术应用前景。基于文献研究、案例分析与跨学科研究方法,结合生成式人工智能的技术特性,构建技术赋能的理论框架与实践模型。研究认为,以明晰学理性阐释为前提,古丝绸之路交通文化遗产在文化遗产事业中的外延意义被重新界定,其保护与传承的现实需求与技术特性体现出精准契合;生成式人工智能通过深度学习算法和多模态数据处理能力在文化遗产数字化重建与虚拟复原、智能化监测与持续保护、沉浸式体验与科普性应用等方面展现出丰富的应用图景。研究表明,未来需围绕人工智能素养协同提升、政策协同支持、主体协同参与供给系统支撑,推动古丝绸之路交通文化遗产的深度保护与可持续传承,为文化交流互鉴和构建人类命运共同体提供支撑。 Amid the disruptive transformation of the cultural sector driven by artificial intelligence,generative AI has transcended traditional paradigms for interpreting and protecting tangible cultural heritage.Through innovations in deep learning and generative models,it is achieving unprecedented protection outcomes and enabling cultural regeneration,offering a new theoretical interpretation framework and technological application prospect for the protection and inheritance of transportation cultural heritage along the ancient Silk Road.Based on literature review,case analysis,and interdisciplinary research methods,and drawing on the technical features of generative AI,this paper constructs a theoretical framework and practical model for technology empowerment.The findings suggest that,grounded in a clear academic interpretation,the extended significance of the transportation cultural heritage along the ancient Silk Road within the broader heritage sector is being redefined.The practical demands in its protection and inheritance align precisely with the technological features.Generative AI demonstrates rich application scenarios in the digital reconstruction and virtual restoration,intelligent monitoring and sustained protection,immersive experiences,and educational applications of cultural heritage through its deep learning algorithms and multimodal data processing capacities.The study concludes that future efforts should focus on coordinated improvement of AI literacy,policy support,and multi-stakeholder engagement and supply systems to promote profound protection and sustainable inheritance of the transportation cultural heritage along the ancient Silk Road,thereby supporting cultural exchange and mutual learning and contributing to the building of a community with a shared future for mankind.
作者 王振宇 郭鹏飞 WANG Zhenyu;GUO Pengfei(School of Marxism,Chang'an University,Xi'an 710064,Shaanxi,China)
出处 《长安大学学报(社会科学版)》 2025年第3期40-52,共13页 Journal of Chang'an University(Social Science Edition)
基金 国家社会科学基金青年项目(24CKS081) 交通运输战略规划政策项目(211434240122)。
关键词 文化遗产保护 生成式人工智能 古丝绸之路 交通文化遗产 cultural heritage protection generative artificial intelligence ancient Silk Road transportation cultural heritage
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