China issues guidelines to govern and promote development of AI agents

Three Chinese regulators released joint guidelines for AI agent development, covering security, standards, and 19 application scenarios. The rules address risks like privacy breaches and unauthorized actions as autonomous systems gain wider use.

Categorized in: AI News IT and Development
Published on: May 19, 2026
China issues guidelines to govern and promote development of AI agents

China's Government Outlines Framework for AI Agent Development

China's Cyberspace Administration, National Development and Reform Commission, and Ministry of Industry and Information Technology have released joint guidelines for AI agent development, establishing standards for autonomous systems that perceive, decide, and act across digital and physical environments.

The guideline defines AI agents as intelligent systems with autonomous perception, memory, decision-making, interaction, and execution capabilities. Mobile assistants, smart device managers, and cloud-based agents have already entered widespread use, the agencies said.

Four Development Pillars

The framework targets four areas:

  • Technical infrastructure, standards, and protocols
  • Security guardrails, product norms, and governance systems
  • 19 application scenarios spanning research, industry, consumption, welfare, and governance
  • Ecosystem building and industrial cooperation

Security Concerns Drive Regulation

The high autonomy of AI agents creates tangible risks. Privacy breaches, unauthorized operations, and behavioral failures are documented concerns as these systems gain broader permissions and decision-making authority.

The guidelines propose balancing development with security through product standards, permission controls, and behavior regulation. An evaluation system will monitor and assess agent deployment, with rolling adjustments based on real-world performance.

The agencies emphasized a people-centered approach and multi-party governance, aiming to foster an environment where standardization and innovation coexist.

For development teams, understanding these regulatory requirements will be essential as AI agents become operational components of enterprise systems. AI Agents & Automation training can help technical professionals align development practices with emerging governance frameworks.


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