Presentation Information
[P-11-02]Cultural discontinuity, cultural resilience, and mental health in the era of Large Language Models: Civilizational disruption and reconstruction in the context of technological revolution
*Jian-Zhong Yang Yang (Department of Psychiatry, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China(China))
Keywords:
Cultural discontinuity,cultural resilience,Large Language Models
In the past five years, large language model (LLM) technologies, represented by GPT-4 and DeepSeek, have developed rapidly and reshaped the underlying logic of knowledge production and dissemination. According to statistics, the global market size of AI-generated content is expected to exceed 100 billion US dollars in 2025. While this technological revolution has improved efficiency, it has also triggered deep-seated cultural discontinuity and mental health crises. Cultural discontinuity is not only manifested in the dissolution of marginal cultures and the homogenization of languages, but also exacerbated psychological changes in the population through mechanisms such as algorithmic recommendations, collaborative filtering, and digital identity recognition. For example, algorithmic recommendations and collaborative filtering can create echo chambers that reinforce existing biases and limit exposure to diverse cultural perspectives. Digital identity recognition mechanisms, which use AI to verify and authenticate individuals in digital environments, can also contribute to psychological changes by shaping how people perceive themselves and others online. This paper, from the perspective of the intersection of technology and humanities, systematically analyzes the manifestations of cultural discontinuity, the impact on mental health, and the response pathways in the era of LLM, attempting to provide theoretical support for building cultural resilience in the technological age.