BEIJING, Jan. 13 — China has recently unveiled a guideline aimed at nurturing its data-labeling industry, as the country seeks to boost the development of artificial intelligence (AI).
By 2027, China's data-labeling industry is expected to have made strides in scientific and technological innovation, along with a substantial increase in industry scale, according to the guideline issued by state organs such as the National Development and Reform Commission and the National Data Administration.
To achieve the targets, the country aims to cultivate a number of influential data-labeling companies, while also establishing various data-labeling hubs nationwide that demonstrate significant achievements and distinctive advantages, as per the guideline.
The guideline also calls for efforts to promote the application of AI in areas such as government services, urban governance and rural revitalization.
As an emerging industry, data labeling focuses on processing data through filtering, cleaning, classification, annotation, tagging and quality inspection, thereby enabling machines to learn more efficiently and effectively.
The country will support the development of data labeling with favorable fiscal, financial and tax policies. It will also create or revise national standards for professions related to AI training and data labeling, according to the guideline.
Brief
On Jan. 13, China unveiled a guideline to nurture its data-labeling industry for AI development. The guideline aims to have the industry make significant strides in innovation and scale by 2027, with plans to cultivate influential companies and establish data-labeling hubs nationwide. To achieve this, the country will implement favorable policies and create national standards for related professions.
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Purpose
China has unveiled a guideline aimed at nurturing its data-labeling industry, with the objective of boosting the development of artificial intelligence (AI) by 2027. The country seeks to cultivate influential data-labeling companies and establish various data-labeling hubs nationwide that demonstrate significant achievements and distinctive advantages.
The purpose of this guideline is to support the growth of data labeling as an emerging industry, focusing on processing data through filtering, cleaning, classification, annotation, tagging, and quality inspection. This enables machines to learn more efficiently and effectively, thereby promoting the application of AI in various sectors such as government services, urban governance, and rural revitalization.
Effects on Industry
The guideline is expected to have a substantial impact on the data-labeling industry in China, with targets set for 2027. The country aims to make significant strides in scientific and technological innovation, along with a substantial increase in industry scale. This will likely lead to an expansion of the market, attracting more investors and companies to the sector.
The guideline also calls for efforts to promote the application of AI in various areas, which may lead to increased demand for data labeling services. As a result, the industry is expected to experience significant growth, with the development of influential data-labeling companies and the establishment of data-labeling hubs nationwide.
Relevant Stakeholders
The stakeholders affected by this guideline include businesses operating in the data-labeling industry, as well as consumers who rely on AI-driven services. The country’s government organs, such as the National Development and Reform Commission and the National Data Administration, will also be impacted, as they implement policies to support the development of data labeling.
Additionally, companies operating in sectors that rely heavily on AI, such as technology and healthcare, may also benefit from the guideline’s focus on promoting AI applications. These stakeholders can expect to see increased investment and innovation in the data-labeling industry, leading to improved services and products.
Next Steps
To comply with or respond to this guideline, relevant stakeholders should take the following steps:
- Businesses operating in the data-labeling industry should prepare for significant growth and expansion, as well as increased competition.
- Companies relying on AI-driven services should consider investing in data labeling capabilities to improve their offerings.
- The government organs responsible for implementing policies should work closely with businesses and stakeholders to support the development of data labeling.
Any Other Relevant Information
The guideline also calls for efforts to create or revise national standards for professions related to AI training and data labeling. This will provide a framework for companies operating in the industry, as well as individuals seeking careers in data labeling.
Additionally, the country’s decision to offer favorable fiscal, financial, and tax policies to support data-labeling development may lead to increased investment in the sector. As a result, stakeholders can expect to see significant progress in the data-labeling industry over the next few years.
