AI Supply Chain Standards: A New Era of Governance by Tech Giants
AI Supply Chain Standards: A New Era of Governance
AI standards are critical as US and Chinese tech giants like Microsoft, Google, and Alibaba collaborate to establish Large Language Model security for supply chains. This innovative initiative aims to address the urgency of AI governance amid the rapid advancements in artificial intelligence. With contributions from notable firms including Ant Group and Tencent, the new standard focuses on ensuring safety and compliance across global supply chains.
Innovative Collaboration for Enhanced Security
Recently unveiled at the Inclusion Conference in Shanghai, the Large Language Model Security Requirements for Supply Chain standard was created with the World Digital Technology Academy (WDTA) and aims to cover the entire lifecycle of LLMs.
- Addresses security risks such as data leaks and model tampering.
- Involves international cooperation among leading tech firms.
- Supports the WDTA’s broader initiative for AI safety and responsibility.
Peter Major from the UN emphasized the importance of setting meaningful standards in the evolving landscape of artificial intelligence technologies. As the global reliance on LLM grows, the call for robust safety measures becomes increasingly urgent.
The Path to Future Governance
This collaborative effort marks a significant step in addressing the challenges faced by businesses and governments in implementing AI technologies safely. With earlier standards introduced in the generative AI field, this current standard aims to pave the way for future advancements.
This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.