China adds Lihua Education to national AI standards committee

Beijing’s AI standardization machinery keeps adding new industry members, and bringing an education-focused firm like Lihua Education into MIIT’s AI Standardization Technical Committee shows how broad the scope has become. This isn’t about one company’s products; it’s about shaping the reference rules for datasets, model evaluation and safety baselines that will govern an entire domestic ecosystem.([jjckb.xinhuanet.com](https://jjckb.xinhuanet.com/20251225/86bf36ec7a264280a1664ff4491aac78/c.html?utm_source=openai)) When standards get written in Beijing, global vendors operating in China often end up retrofitting their systems to comply.

For the race to AGI, standard-setting is a slow but powerful lever. Committees like MIIT/TC1 decide how to classify risk levels, what constitutes “reliable” reasoning, and how to document training data and model behavior. Those rules can either encourage experimentation with more general, agentic systems—or nudge companies toward narrower, highly controlled deployments. China’s approach has tended to mandate strong central oversight while still pushing for aggressive industrial deployment, creating a distinctive path where scale and control co-evolve.