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China · Framework

Beijing AI Principles

Published1 May 2019

Issued by Beijing Academy of Artificial Intelligence (BAAI).

Summary

The Beijing AI Principles offered an early view of China’s AI governance thinking before later binding generative AI measures. Issued by the Beijing Academy of Artificial Intelligence in 2019, the principles balanced rapid AI capability development with safety, human well-being, intellectual property respect, and responsible deployment. They contributed to the global soft-law landscape by articulating values around beneficial AI, ethics, and long-term governance from a Chinese institutional perspective. The principles remain useful for understanding the pre-2023 roots of China’s AI policy architecture.

Why it matters

Beneficial AI orientation; safety and human well-being; responsible development and deployment; intellectual property respect; long-term governance concerns; balance between capability development and ethical oversight.

Topics

Record metadata

Country
China
Document type
Framework
Status
Published
Publication date
1 May 2019
Last updated
29 June 2026
Language
English
Original source
View original source

Citation export

Plain citation

Beijing Academy of Artificial Intelligence, Beijing AI Principles, May 2019.

BibTeX

@misc{beijing_ai_principles_2019,
  title        = {Beijing AI Principles},
  author       = {Beijing Academy of Artificial Intelligence (BAAI)},
  year         = {2019},
  howpublished = {Global AI Governance Archive},
  url          = {https://www.baai.ac.cn/news/beijing-ai-principles-en.html}
}

See the citation guide for style-specific examples.

Recorded cross-references

  • China — Interim Measures for Generative AI Services
  • Asilomar AI Principles
  • OECD Principles on Artificial Intelligence

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