Global AI Safety Alliance (AISA) Launched: 20 Leading Companies Including Google, OpenAI, and Alibaba Unite to Establish Universal AI Safety Standards
Category: Industry Trends
Excerpt:
On December 18, 2025, the Global AI Safety Alliance (AISA) was officially established, bringing together over 20 frontier AI developers from the US, China, Europe, and beyond—including Google DeepMind, OpenAI, Alibaba Cloud, Anthropic, Meta, xAI, DeepSeek, Zhipu AI, and Tencent. The alliance commits to co-developing shared risk thresholds, open-source safety tools, and transparent evaluation frameworks for advanced AI systems. This landmark cross-border initiative aims to harmonize global standards amid escalating regulatory pressures, marking the first truly multinational industry-led effort to mitigate catastrophic AI risks.
Why AISA Matters: Addressing Global AI Safety Gaps
As a key driver of the digital economy, AI has seen widespread adoption across finance, healthcare, transportation, and public security sectors. However, its complexity and lack of uniform safety norms have raised growing concerns worldwide. AISA’s formation responds to this urgent need by fostering cross-industry collaboration to build a robust safety framework. The 20 founding members, representing diverse geographical and industrial backgrounds, will jointly participate in the formulation, revision, and promotion of AI safety standards, covering the entire lifecycle of AI systems from data collection and algorithm development to model deployment and post-deployment supervision.
Leaders’ Perspectives
"The risks of AI are global, and so must be our response. AISA provides a vital platform for global leaders in AI to align on safety standards that protect society while enabling innovation."
Representatives from Google and Alibaba echoed this sentiment, noting that unified standards will not only enhance the trustworthiness of AI products but also promote fair competition and healthy development within the global AI industry.
Three Core Focus Areas of AISA
Basic General Standards
Develop terminology definitions and risk classification criteria to lay the foundation for unified global AI safety governance.
Technical Safety Standards
Cover data security, algorithm robustness, and model interpretability to address technical-level risks of AI systems.
Sector-Specific Guidelines
Formulate application-oriented safety rules tailored to key industries like healthcare and finance.
Global Impact & Future Plans
AISA’s standards are expected to be compatible with existing frameworks such as the EU’s AI Act and NIST’s AI Risk Management Framework (AI RMF 2.0) while addressing gaps in global AI safety governance. Industry experts anticipate that AISA’s establishment will accelerate the globalization of AI safety governance and set a benchmark for responsible AI development.
The alliance has also announced plans to expand its membership in the future, welcoming participation from more enterprises, academic institutions, and government agencies to jointly shape a safe and sustainable AI ecosystem.
AISA Key Facts
- Founding Members: 20 leading tech firms (Google, OpenAI, Alibaba, etc.)
- Mission: Develop unified global AI safety standards
- Coverage: Entire AI lifecycle (data → deployment → supervision)
- Compatibility: Aligns with EU AI Act & NIST AI RMF 2.0
- Future Plan: Expand membership to enterprises, academia, governments
