- China announced new guidelines to enhance the accuracy, reliability, and transparency of AI through a unified national evaluation framework.
- The government will establish a common benchmark for AI, allowing models, computing power, and data quality to be compared and assessed under the same national standards.
- The initiative reflects Beijing’s efforts to strengthen AI governance as the technology becomes increasingly vital for economic growth and geopolitical competition.
- In recent years, China has accelerated domestic AI research capabilities and developed tools for setting internal standards.
- The new policy focuses on addressing concerns about the “black box” nature of AI algorithms, where users find it difficult to understand how models reach conclusions or decisions.
- The document, issued by the State Administration for Market Regulation (SAMR) and the National Development and Reform Commission, emphasizes building trust in AI.
- Regulators called for the development of tools that improve the transparency, traceability, and verifiability of AI systems.
- SAMR declared it will promote reliable, safe, and verifiable AI measurement standards, making AI performance measurable, comparable, and traceable.
- The plan also aims to bridge the gap between laboratory research and practical industrial applications.
- Additionally, the program will tackle challenges such as measurement errors and data shortages, which hinder consistent AI assessment.
📌 China is stepping up AI governance by building a national evaluation framework to standardize the measurement of models, computing power, and data quality. The focus is on addressing the “black box” issue of AI, increasing transparency, traceability, and reliability. The plan, implemented by SAMR and the National Development and Reform Commission, also aims to connect research with industrial applications while overcoming data limitations and accuracy gaps in AI evaluation.
