Protecting Civilizational Coexistence in the Age of AI

Artificial intelligence is fundamentally reshaping the underlying logic and communication paradigms of cultural exchanges between China and the world. Machine translation eliminates language barriers, virtual reality reconstructs the temporal and spatial dimensions of cultural experiences, and generative AI enables exponential growth in cultural content production. This technological revolution opens unprecedented new windows for dialogue between civilizations. However, issues such as algorithmic bias, technological hegemony, and cultural distortion also arise, presenting deep challenges regarding cultural security and the struggle for discourse power. The core question becomes how to protect cultural diversity amid the rapid advancement of technology, transforming technological challenges into opportunities for mutual learning between civilizations, and achieving a leap from “cultural product export” to “civilizational paradigm output” in the age of AI.

The transformation brought by AI to cultural exchanges is reflected throughout the entire chain of cultural dissemination, production, and experience, providing new dimensions and possibilities for civilizational dialogue. In terms of cross-language communication, machine translation technology achieves real-time multilingual translation, and more revolutionary is the intelligent adaptation to cultural contexts. In the realm of cultural heritage preservation, digital twins and AI restoration technologies enable cultural heritage to achieve “digital immortality,” providing new technological carriers for lost civilizational memories. In the areas of cultural production and dissemination, AIGC opens a new model of human-machine collaborative creation, geometrically expanding the coverage of cultural dissemination, significantly increasing the cultural reach among youth, and transforming overseas users from passive cultural recipients to active participants in immersive AI experiences, allowing the dissemination of Chinese culture to shift from “one-way output” to “two-way interaction.”

Behind the empowerment of technology lies the multiple challenges that cultural exchanges must face, which concern not only the preservation of cultural authenticity but also the struggle for cultural sovereignty and discourse power. The intensification of cultural distortion and misinterpretation has become the most direct issue. Currently, the training data for mainstream global AI models is predominantly in English, systematically weakening the expression of non-Western cultures. For instance, the Chinese concept of “filial piety” is simplified to “obedience to elders,” neglecting the ethical core of “mutual responsibility.” The literal translation of “韬光养晦” has led to misinterpretations of strategic intentions. The symbolic output of algorithms reduces rich cultures to stereotypical labels, with Peking Opera masks and mooncakes becoming one-dimensional representations of China, causing the aesthetic essence and deeper meanings of culture to continuously erode during dissemination. Algorithmic bias and invisible cultural hegemony pose deeper crises for cultural exchanges.

AI technology is not “value-neutral”; it inherently contains the values of its developers. Value conflicts are continuously amplified in AI-generated content, with traditional Chinese medicine misjudged as “unscientific” and collective interests labeled as “lacking autonomy.” The concentration of global mainstream AI platforms in China and the U.S. leaves small language cultures facing “digital silence.” The content production of generative AI is more likely to cater to the global market, leading to the association of the “Great Wall” with “seclusion” and distorting the image of China through fabricated information. The struggle for cultural interpretation rights and narrative authority is becoming increasingly fierce. Risks associated with technological dependence and data sovereignty also pose significant threats to cultural security. Core Chinese NLP tools rely on overseas open-source platforms, and a large amount of Chinese cultural data is scraped without authorization by foreign platforms. The low accuracy of AI in recognizing and understanding the emotions and core philosophical concepts of Chinese culture leads to “emotional distortion” and “conceptual misinterpretation” in cultural dissemination, further exacerbating the risks involved.

In the face of new challenges in the age of AI, the breakthrough for cultural exchanges lies in constructing a system that deeply integrates technology and humanity, driven by “technological autonomy + civilizational mutual learning.” This approach not only strengthens the “digital moat” for cultural security but also creates a new ecology of civilizational coexistence, allowing technology to amplify cultural uniqueness as a “loudspeaker” rather than a “bulldozer” for cultural homogenization.

Technological autonomy is fundamental to safeguarding cultural authenticity and sovereignty. The core lies in building a technological foundation exclusive to Chinese culture, embedding the cognitive genes of Chinese culture during the AI training phase. It is essential to develop cultural sensitivity detection tools and cultural value alignment tools to intercept distorted content in real-time, implanting a “cultural context analysis module” in AI to enhance understanding and translation accuracy of uniquely Chinese concepts. Additionally, promoting the formulation of international standards for cultural AI technology and leading the establishment of ethical guidelines for AI cultural dissemination will grant Chinese culture greater discourse power at the technological level.

Reconstructing the dissemination ecology is key to achieving effective cultural dissemination. A dual-track strategy of official guidance and grassroots empowerment should be adopted, with the official side constructing a national cultural large model and establishing digital cultural bonded zones to fortify cultural security. In terms of dissemination methods, it is necessary to break away from the traditional “cultural transplantation” model and move towards localized dissemination of “cultural coexistence,” integrating elements of Chinese culture with local cultures, allowing Chinese culture to take root overseas without losing its authenticity. At the same time, innovative dissemination carriers should be created, such as establishing global youth digital cultural creator camps and hosting international AIGC competitions, making Generation Z the main force in cross-cultural exchanges.

Cultivating interdisciplinary talents is fundamental to supporting cultural exchanges in the intelligent era. Currently, there is a significant gap in talents who possess both “cultural translation + technical application” skills globally. It is urgent to construct a training system that integrates knowledge, technology, and practice, enabling talents to master both classical Chinese texts and digital tools, while deeply engaging in cross-national cultural projects. This will foster a blend of Chinese cultural heritage, local cultural awareness, and digital cultural capabilities, achieving an organic integration of “technology-culture-dissemination” and making talents important bridges connecting different civilizations.

Cultural exchanges between China and the world in the age of AI are undergoing a paradigm revolution from “cultural output” to “civilizational coexistence.” This revolution is not only an innovation in dissemination tools but also a reconstruction of the cognitive framework and value coordinates of civilizational dialogue. Technology is a double-edged sword; it can create new cultural divides and hegemony, but it can also serve as a powerful force for promoting mutual learning between civilizations and achieving harmonious coexistence. The key lies in whether we can write the genes of cultural diversity into algorithms with a humble attitude towards technology, implanting a “cultural empathy module”; whether we can build a robust cultural data infrastructure based on cultural confidence, mastering the initiative in cultural dissemination; and whether we can harness technological power with civilizational wisdom to construct a governance paradigm that deeply integrates technology and humanity. Only in this way can we safeguard the subjectivity of Chinese culture amid the waves of technological reconstruction, allowing different civilizations to maintain their unique brilliance in the intelligent era, and ensuring that AI becomes a facilitator rather than an obstacle in cultural exchanges, solidifying the cultural foundation for building a community with a shared future for humanity and writing digital footnotes for a new form of human civilization.