Yao Qian, Director of the Science and Technology Regulatory Bureau of the CSRC: Focus on the development of synthetic data industry based on AIGC technology

On March 7, Yao Qian, the director of the Science and Technology Supervision Bureau of the CSRC, wrote in China Finance that it was recommended to focus on the development of synthetic data industry based on AIGC technology. With higher efficiency, lower cost and higher quality as the “incremental expansion” of the data element market, it helps to create data advantages for the future development of AI. In terms of strengthening the high-quality supply of data elements, we should make overall plans for self-reliance and opening-up. Consider establishing filtered domestic mirror sites for specific data sources such as Wikipedia and Reddit for use by domestic data processors.

Interpretation of this information:

In a recent article in China Finance, Yao Qian suggested that the development of the synthetic data industry based on AIGC technology should be a priority. As an “incremental expansion” of the data element market, this industry has the potential to provide higher efficiency, lower costs, and higher quality data, which could create data advantages for the future development of AI.

However, Yao Qian also emphasized the importance of strengthening the high-quality supply of data elements. To achieve this, he proposed making overall plans for self-reliance and opening-up. One way to achieve this is by considering the establishment of filtered domestic mirror sites for specific data sources such as Wikipedia and Reddit. By doing so, domestic data processors would have access to high-quality data sources that were specifically tailored to their needs.

Overall, Yao Qian’s article highlights the importance of the synthetic data industry in the context of AI development. By focusing on this industry, AI developers could potentially benefit from higher quality, more efficient, and lower cost data. However, achieving these benefits will require a careful balance between self-reliance and opening-up, as well as an emphasis on high-quality data sources.