China Experiences Growth in Generative AI, Utilizing 190 Models
According to Zhuang Rongwen, the head of the Cyberspace Administration of China (CAC), over 190 generative artificial intelligence (AI) service models have been registered with the regulatory body in China and are now accessible for public use.
TroibNews 
Zhuang Rongwen, the head of the Cyberspace Administration of China (CAC), announced on Monday that over 190 generative AI service models are now registered and publically available in China. He revealed that these models have attracted more than 600 million registered users, indicating a well-regulated and positive growth in the sector.
Zhuang committed to supporting the sector's industrial growth, technological advancements, and enhanced security measures. He emphasized the importance of balancing high-quality development with stringent security protocols.
In July 2023, China pioneered global regulatory practice by implementing provisional management rules for generative AI services. During the same month, a critical policy resolution was passed at the third plenary session of the 20th Communist Party of China Central Committee, aiming to refine the development and management strategies for generative AI.
Zhuang highlighted future policy directions, including the emphasis on independent development of computational chips and algorithms, as well as enhancing Chinese language data sets. He mentioned that there would be increased investment in AI's foundational capabilities, and in fostering domestically developed large AI models.
Moreover, Zhuang said the regulatory processes for these large models would be streamlined to lower the compliance costs for businesses.
The application of generative AI across various sectors such as manufacturing, education, healthcare, and agriculture is encouraged to help integrate AI with the real economy and boost traditional industries.
Addressing AI security concerns, Zhuang stated, "The authorities will guide service providers to offer high-quality services in a safe, reliable, controllable and fair manner," emphasizing the tightening of management practices to mitigate risks like data breaches and misinformation.
In terms of legislation, Zhuang conveyed that the CAC would partner with other regulatory bodies to enhance AI governance through a collective approach encompassing government regulations, industrial self-regulation, enterprise self-discipline, and public oversight.
Zhuang praised the advancements in cyberspace governance since 2012, noting the development of a highly advanced informational infrastructure and the implementation of over 150 legislative acts. He affirmed the country's commitment to creating a robust cyber ecosystem through systematic and lawful governance, addressing core issues proactively.
He concluded by affirming priorities such as improving coordination in cyberspace law enforcement and emphasizing security reviews for new internet technologies to uphold ideological safety and protect the rights of online users. Additionally, the CAC plans to intensify its regulatory campaigns targeting internet influencers and multimedia content networks, and to combat unlawful online behaviors.
Sanya Singh for TROIB News
Zhuang committed to supporting the sector's industrial growth, technological advancements, and enhanced security measures. He emphasized the importance of balancing high-quality development with stringent security protocols.
In July 2023, China pioneered global regulatory practice by implementing provisional management rules for generative AI services. During the same month, a critical policy resolution was passed at the third plenary session of the 20th Communist Party of China Central Committee, aiming to refine the development and management strategies for generative AI.
Zhuang highlighted future policy directions, including the emphasis on independent development of computational chips and algorithms, as well as enhancing Chinese language data sets. He mentioned that there would be increased investment in AI's foundational capabilities, and in fostering domestically developed large AI models.
Moreover, Zhuang said the regulatory processes for these large models would be streamlined to lower the compliance costs for businesses.
The application of generative AI across various sectors such as manufacturing, education, healthcare, and agriculture is encouraged to help integrate AI with the real economy and boost traditional industries.
Addressing AI security concerns, Zhuang stated, "The authorities will guide service providers to offer high-quality services in a safe, reliable, controllable and fair manner," emphasizing the tightening of management practices to mitigate risks like data breaches and misinformation.
In terms of legislation, Zhuang conveyed that the CAC would partner with other regulatory bodies to enhance AI governance through a collective approach encompassing government regulations, industrial self-regulation, enterprise self-discipline, and public oversight.
Zhuang praised the advancements in cyberspace governance since 2012, noting the development of a highly advanced informational infrastructure and the implementation of over 150 legislative acts. He affirmed the country's commitment to creating a robust cyber ecosystem through systematic and lawful governance, addressing core issues proactively.
He concluded by affirming priorities such as improving coordination in cyberspace law enforcement and emphasizing security reviews for new internet technologies to uphold ideological safety and protect the rights of online users. Additionally, the CAC plans to intensify its regulatory campaigns targeting internet influencers and multimedia content networks, and to combat unlawful online behaviors.
Sanya Singh for TROIB News
