The Logical Path,Value Implications,and Practical Path of Empowering the Inheritance of Red Medicine Spirit with Generative Artificial Intelligence
Guo Jia-nan
Abstract:With the rapid development of generative artificial intelligence(GAI)represented by ChatGPT and its widespread application in the field of communication,the development of the communication industry is advancing rapidly,which has provided a broader space for the inheritance and development of the Red Medicine Spirit.With the establishment and development of the CPC,the connotation of the Red Medicine Spirit has been constantly enriched,with the core connotation of following the Party's command,being politically firm,selfless,rescuing the dying and helping the wounded,excellent technology,striving for perfection,hard work,and pioneering spirit.Through the efficiency generation logic,the innovation logic of inheritance elements,and the logic of cultivating energy,GAI is organically coupled with the inheritance of the Red Medicine Spirit.GAI helps to enhance the depth and interactivity of Red Medicine Spirit learning and promote cultural innovation and value transmission of the Red Medicine Spirit.It is also committed to innovating the inheritance mode of Red Medicine Spirit through its interdisciplinary integration function and panoramic experience.The practical path needs to adhere to the value orientation of people-oriented,establish intelligent inheritance thinking,accelerate the improvement and increment of content production,create higher quality and richer Red Medicine Spirit products,strengthen the integration of inheritance elements,construct an intelligent circular interactive inheritance model of Red Medicine Spirit,integrate and innovate inheritance techniques,enhance the inheritance effect of Red Medicine Spirit,and continue to contribute to the strategic goal of achieving a healthy China.
Keywords:Generative artificial intelligenceRed Medicine SpiritCultural innovationPanoramic experience
Publication Date:2025-05-20
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:8( 22-29 )
