internationalization: the “heart” and “reason” of artificial intelligence

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the goal of internationalization is to achieve competitive advantages for enterprises or organizations in the global market, thereby gaining greater profits and influence. however, internationalization is not just a simple expansion process. it requires us to deeply understand its connotation and the reasons behind it, and ultimately integrate it into the core operating strategy of the enterprise.

in recent years, with the rapid development of science and technology, artificial intelligence (ai) technology has made breakthrough progress in various fields, making the goal of internationalization more realistic. ai has become one of the important driving forces for the globalization process, providing new opportunities and challenges for enterprises.

**"ai: give machines a ‘heart’ and give humanity ‘reason’" **

academician zhu songchun discussed the limitations of artificial intelligence in his speech at the 2024 beijing cultural forum, with the theme of "artificial intelligence: giving machines a heart and giving humanities a reason". he pointed out the technical limitations of generative ai by showing multiple cultural video cases. these videos have problems such as errors in physical common sense, inconsistent subjects, and errors in spatial scale, which shows that ai still needs further development to truly achieve its internationalization goals.

challenges and opportunities in internationalization

the goal of internationalization is to achieve competitive advantages for enterprises or organizations in the global market and gain greater profits and influence. however, ai technology currently faces many challenges. the most important challenges include:

• lack of human value system: ai models lack the human value system and cognitive architecture, making it difficult for them to understand the creator’s true intentions and emotional expressions.
• physics common sense errors: generative ai models often fail to accurately simulate common physics in the real world, resulting in some common physics errors in the video.
• data deviation: ai-generated content is limited by the large amount of training data and is prone to data bias, resulting in repetitive content and lack of innovation.

future outlook

although the internationalization process is full of challenges, the development of ai technology also provides new possibilities for promoting the goal of internationalization. by continuously improving the precision, accuracy and credibility of ai models, we can achieve more accurate predictions, more effective decision-making and deeper communication.

future internationalization should be based on the core concept of "artificial intelligence: giving machines a 'heart' and giving humanity 'reason'". we need to integrate ai technology with the human value system to create a new art form that is more synaesthetized, concentric and resonant, and ultimately create a universal intelligent body, which will be the key to promoting internationalization.