Global guidelines on industrial embodied intelligence drafting begins at 2026 World AI Conference

The drafting of the Global Guidelines on Industrial Embodied Intelligence was officially launched on Friday during a forum on global artificial intelligence standardization at the 2026 World AI Conference & High-level Meeting on Global AI Governance.

Based on the fundamental needs of the global manufacturing industry's smart transformation and industrial upgrading, the guidelines would focus on key technologies and governance areas including industrial embodied intelligence, environmental perception and state recognition, autonomous planning and dynamic decision-making, multi-agent collaborative operations, natural human-machine interaction, and functional safety and trustworthy ethics.

Amandeep Singh Gill, under-secretary-general and special envoy for digital & emerging technologies of the United Nations, said AI governance and standards are not developing in separate tracks; instead, the two are interdependent and unified.

He emphasized that standards should stick to human dignity and safety, while technical indicators need to be dynamically adjusted as systems evolve. He called for innovative approaches to standardization in design, implementation, and enforcement, so as to allow developers to be involved in the complete life cycle of systems, including standards creation, integrated tools and procedures, and supervision.

During his keynote report, Song Haitao, a member of the United Nations' Independent International Scientific Panel on Artificial Intelligence, systematically analyzed the speedy trend of global AI governance, which shifted from principle-based initiatives to institutionalized implementation and multi-stakeholder collaboration.

Song introduced the mission, progress, and key preliminary findings of the UN's Independent International Scientific Panel on Artificial Intelligence, and shared China's practical achievements in AI top-level design, open-source ecosystem building, and international capacity development.

"Facing new developments, it is important to strengthen the foundation of global governance through scientific measures. This requires bridging technological and capability gaps through open cooperation, while promoting a more inclusive, transparent and verifiable global AI governance system," said Song, who is also president of Shanghai Artificial Intelligence Research Institute.

"The goal is to ensure that the benefits of AI can reach more countries and people," Song added.

The forum also witnessed the publishing of the Chinese and English versions of the world's first series of Standards Artificial Intelligence-Agent Interconnection, the world's first AI Enterprise Intelligence Maturity Assessment Model (AIMM) framework, as well as the launch ceremony of Global Standardization Partnership Program for Trustworthy AI Ecosystem.