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New global standard aims to build security around large language models
A new global standard has been released to help organizations manage the risks of integrating large language models (LLMs) into their systems and address the ambiguities around these models. The framework offers guidelines for different phases across the lifecycle of LLMs, spanning "development,
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First international standard for LLMs to be developed by US-China tech coalition
In an unexpected move toward AI governance globally, China and the US have collaborated to develop the world's first international standard for large language models security in supply chains. The development comes from joint efforts by Chinese giants Ant, Baidu and Tencent, together with US firms
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A new global standard is being developed to enhance security and reliability in large language models (LLMs). This initiative involves a coalition of tech companies from the US and China, marking a significant step in AI governance.

In a groundbreaking move, a coalition of tech giants from the United States and China is joining forces to develop the first international standard for large language models (LLMs). This initiative, led by the Institute of Electrical and Electronics Engineers (IEEE), aims to address the growing concerns surrounding the security and reliability of AI systems
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.The coalition includes major tech companies such as Alibaba, Huawei, SenseTime, and Xiaomi from China, alongside American firms like Microsoft and Nvidia. This collaboration marks a significant step in international cooperation on AI governance, despite ongoing geopolitical tensions between the two countries
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.The primary goal of this standard, known as IEEE 3109, is to establish guidelines for the secure and reliable deployment of LLMs. It will focus on crucial aspects such as robustness, trustworthiness, and privacy protection in AI systems
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.As LLMs become increasingly prevalent in various applications, from chatbots to content generation, concerns about their potential risks have grown. The new standard aims to tackle issues such as:
By setting these standards, the coalition hopes to build greater trust in AI technologies and promote their responsible development and use
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The IEEE expects to complete the initial draft of the standard by the end of 2023, with the final version anticipated to be ready by 2024. Once established, this standard could serve as a benchmark for AI developers and users worldwide, potentially influencing regulations and best practices in the AI industry
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.The creation of this international standard represents a significant milestone in the evolution of AI governance. It demonstrates the potential for global cooperation in addressing the challenges posed by rapidly advancing AI technologies, even amid complex geopolitical relationships
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.As AI continues to play an increasingly important role in various sectors, from healthcare to finance, the establishment of such standards could pave the way for more responsible and trustworthy AI systems. This initiative may also inspire further international collaborations in technology governance, fostering a more unified approach to managing the risks and harnessing the benefits of AI on a global scale.
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