On October 13, the National Artificial Intelligence Standardization Overall Group released the 'Research Report on Ethical Governance of Embodied Intelligence.' The report focuses on the ethical governance of embodied intelligence, systematically summarizing governance proposals from the perspectives of lifecycle governance, technical protection, and standard guidance. It is understood that the ethics of embodied intelligence is a branch of artificial intelligence ethics. The report outlines six categories of ethical risks, including the autonomy of individuals, damage to social relationships and developmental rights, personal injury and public safety, privacy violations and misuse of personal information, bias and discrimination leading to service exclusion, misidentification and overestimation of capabilities, as well as unclear responsibilities and difficulties in event reconstruction. These risks are classified into five levels (R1 to R5) based on the severity of the harm caused. The report proposes six basic governance principles centered on humanity, safety and control, privacy protection, fairness and inclusivity, transparency and explainability, and accountability. Zhang Shizong, Deputy Director of the Information Technology Research Center at the China Electronic Technology Standardization Institute, stated that ethical requirements should be integrated into project design, research and development integration, deployment and operation, and service termination, clarifying the protection requirements and responsibilities at each stage. In terms of technical protection, measures include ensuring physical safety through action constraints, protecting perceptual data through controlled collection, and safeguarding autonomous choice through identity prompts and exit functions. Zhang also indicated that standards will be developed around common fundamentals, governance technologies, governance management, and application scenarios. China will accelerate the development of national standards such as the 'Guidelines for Ethical Governance of Artificial Intelligence and Embodied Intelligence,' systematically conducting research on risk classification and grading, protection function requirements, verification testing methods, and accountability mechanisms to promote the integration of ethical governance requirements into the entire lifecycle of embodied intelligence product project design, research and development integration, and operational deployment.