Summary:
Le 15 septembre 2025, l’Administration du Cyberspace de la Chine a annoncé le lancement de la version 2.0 du Cadre de Gouvernance de la Sécurité de l’Intelligence Artificielle à Kunming, province du Yunnan. Le cadre mis à jour vise à aligner le développement de l’IA avec l’innovation technologique, la sécurité et la gouvernance éthique au niveau mondial. Les points forts incluent l’intégration des avancées dans la technologie de l’IA, des classifications de risques affinées et l’adoption de modèles de gouvernance collaborative. Les développements futurs impliquent la promotion de la coopération multilatérale en matière de sécurité de l’IA et le partage mondial des réalisations technologiques.
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The release of the Artificial Intelligence Safety Governance Framework 2.0 at the main forum of the 2025 Cybersecurity Week in Kunming marks a significant leap forward in regulating AI technology. Jointly developed by CNCERT/CC alongside AI-focused professional entities, research bodies, and enterprises, the updated framework builds upon its predecessor, launched in 2024, to address the dynamic technological landscape and emerging risks.
The legal context of this development is rooted in China’s broader regulatory ecosystem for internet and technology governance. Prominent legislation such as China’s Cybersecurity Law (2017), Data Security Law (2021), and Personal Information Protection Law (2021) aim to create structured, accountable, and ethical uses of digital technologies. The newly refined framework aligns with these laws by emphasizing risk-tracking, preventive measures, and international collaboration. It also reflects global AI regulatory trends, including the EU’s proposed AI Act, which similarly focuses on defining risk categories and establishing enforceable safety standards.
From an ethical perspective, the 2.0 version addresses mounting concerns about transparency, bias, and accountability in AI systems. The CNCERT/CC highlighted a balanced approach that marries technological innovation with ethical governance. By refining classifications of AI risks and recommending preventive measures, the framework strives to prevent scenarios such as the unintended perpetuation of biases in AI systems or misuse of language generation technologies for disinformation campaigns. For example, with global debates surrounding facial recognition’s ethical use, such a framework helps ensure compliant and trustworthy implementations.
The industry implications of such a framework are notable. By fostering a ‘safe, trustworthy, and controllable’ AI development ecosystem, it incentivizes organizations to adopt best practices in AI deployment. Export-driven sectors, like China’s burgeoning AI technology industry, stand to benefit as compliance with rigorous frameworks enhances global competitiveness. Moreover, collaborative governance spanning borders, industries, and research fields underlines the importance of harmonized global standards. For instance, multinational AI companies like Baidu and Tencent may find it easier to deploy their technology internationally under a unified safety standard, mitigating the risk of regulatory fragmentation.
Concrete examples highlight the framework’s significance. Consider autonomous vehicles: these systems must process vast data streams to navigate safely. By applying updated risk categories and control measures, the framework could minimize algorithmic failures leading to accidents. Similarly, for conversational AI like chatbots, safety standards can ensure responses remain ethical and facts-based, critical in sensitive applications like mental health.
Finally, the global dimension is emphasized, as the framework supports cooperation within multilateral mechanisms for AI safety governance. By promoting inclusive technological sharing and building international consensus, it aligns with China’s stated ambitions to lead globally in ethical AI development. This is in tandem with the growing international discourse for interoperable AI governance frameworks, such as initiatives by the OECD and UNESCO.
In sum, the Artificial Intelligence Safety Governance Framework 2.0 serves as a cornerstone for addressing the dual aims of fostering innovation and ensuring safety and trust in AI. By aligning national and international priorities, integrating legal standards, and addressing ethical and industry needs, it sets a robust foundation for the next phase of AI development globally.