Recently, the "Hangzhou General Artificial Intelligence Development Forum" hosted by the China Academy of Information and Communications Technology, the Department of Economy and Information Technology of Zhejiang Province, the Hangzhou Municipal People's Government and the Chinese Industry Intelligent Industry Development Alliance, and organized by the Administrative Committee of Hangzhou West Science and Technology Innovation Corridor, Hangzhou Municipal Bureau of Economy and Information Technology, Hangzhou Yuhang District People's Government, Key Laboratory of Key Technologies and Application Evaluation of Artificial Intelligence Industry and Information Technology, and Hangzhou International Urban Studies Research Center (Zhejiang Urban Governance Research Center) was held in Hangzhou Future Science and Technology City.
Cui Xiangyu, Assistant Vice President of Haitian AAC, participated in the launch ceremony of the "Trusted Artificial Intelligence Data Space Plan" as a corporate representative. Haitian AAC was selected as the core participating unit of the "Technical Requirements and Test Methods of Artificial Intelligence Data Annotation Platform" released at the conference.
At the forum, the "Trusted AI Data Space" program was officially launched, which will focus on data-centric artificial intelligence in the future, create a high-quality data space, continue to release the value of data, and promote the rapid development of general artificial intelligence. Cui Xiangyu, Assistant Vice President of Haitian AAC, participated in the launch ceremony of the "Trusted Artificial Intelligence Data Space Plan" as a corporate representative.
Trusted AI Platform (TAP, Trusted AI Platform) standard evaluation system is launched by the Institute of Cloud Computing and Big Data of the China Academy of Information and Communications Technology, relying on the Key Laboratory of Key Technologies and Applications of Artificial Intelligence and Application Evaluation of Industry and Information Technology, and jointly with industry leaders and research institutions. The automatic machine learning platform and other fields have carried out the development of standard development of function, performance and security dimensions.
As an important part of the TAP system, the release of "Technical Requirements and Test Methods for Artificial Intelligence Data Labeling Platform" has an extremely important milestone value for the standardization of data labeling industry.
During the conference, the core participating units of the "Technical Requirements and Test Methods of Artificial Intelligence Data Annotation Platform" were released on the spot, and Haitian AAC was selected as the core writing unit.
As a company focused on AI data, we understand the importance of standardization in this area. Haitian AAC actively participates in the formulation of a number of national, industry and group standards, and ensures that products and services meet higher standards and requirements through exploration and innovation. Haitian AAC will continue to work closely with industry, academia and academia to jointly promote the standard work in the field of artificial intelligence and related data resources, and contribute to the high-quality development of this field.