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China Addresses AI Data Scarcity

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Artificial intelligence (AI) is transforming industries at an astounding rate in the era of large-scale model technology advancements. Data has become a key asset as the foundation for AI development. A lack of high-quality training data, poor data governance, and ineffective data supply and demand processes are some of the issues China’s AI business is facing. These difficulties limit the development and innovation of generative AI in the nation.

The China Artificial Intelligence Industry Development Alliance (AIIA) has taken a proactive move to solve the issue of AI data shortage by forming a “Data Committee.” Inauguration ceremonies for the AIIA Data Committee are scheduled for mid-October 2023.

As soon as it is established, the committee intends to work closely with several organisations, including the China Communications Standards Association Big Data Technology Standards Promotion Committee (CCSA TC601) and the Key Laboratory of Artificial Intelligence Key Technology and Application Evaluation of the Ministry of Industry and Information Technology. They hope to further industry research, standardisation, technology use, and related efforts collectively.

The group will serve as a catalyst for cooperation amongst many stakeholders, including data resource suppliers, data annotation specialists, and data consumers. Its main goal is to promote cooperation in the collection of AI data resources, demand analysis, data processing, and simplifying frictionless data exchanges between data suppliers and consumers. Through improved accessibility to essential data resources, this cooperative initiative seeks to strengthen the AI data set sector.

The committee will take the lead in creating key elements for data production, augmentation, maintenance, labelling, governance, and synthesis with a focus on cutting-edge technologies and tool platforms. Additionally, it will support the use of cutting-edge technologies like data synthesis, encouraging teamwork in research and promoting their practical applications.

The creation of a thorough AI data governance standard system is one of the committee’s crucial tasks. The complete lifetime of AI training data will be covered by this system, from data collection and annotation to quality control and open sharing. Enhancing training data quality ultimately aims to ensure authenticity, correctness, diversity, and traceability.

The group will concentrate its efforts on sectors that rely on data substantially, including finance, retail, manufacturing, and education. Here, it will examine cutting-edge AI data application scenarios and encourage original methods for utilising data for AI-driven developments in various fields.

The committee will explore the world of win-win business models while working closely with data owners, trainers, and processors. To produce policy recommendations suited to AI training data scenarios, it will chronicle industry best practices and collaborate with advances in the national data infrastructure.

The AIIA Data Committee cordially invites all team leader units, deputy leader units, and member units to participate in this revolutionary project. The initial group of beginning units have until September 30, 2023, to record their participation as pioneers in this programme.

An important turning point has been reached in China’s quest to realise the full potential of artificial intelligence with the establishment of the AIIA Data Committee. This project aims to accelerate AI development, boost innovation, and maintain China’s position as a worldwide leader in the area by addressing significant data-related difficulties and encouraging collaboration among industry players. As this committee sets off on its quest to influence the future of AI, keep an eye out for updates.

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