Mr. Xin Bin, Vice President of SGS China and General Manager of the Management & Assurance Business Group, delivered a speech at the summit. AI, as the core driver of global technological transformation, is reshaping ecosystems across industries such as healthcare, finance, education, and transportation with groundbreaking innovations—its pace of product and service iteration far surpassing what traditional industries could ever imagine. As an internationally recognized testing, inspection, and certification organization, SGS will continue to remain customer-driven, leveraging its global resources and technological strengths to deliver comprehensive solutions that help clients build robust, compliance-focused systems. SGS Actively responding to the nation’s policy initiatives, we are proactively engaging in the efforts to build cybersecurity and ensure data compliance, working hand-in-hand with industry partners to jointly advance the cause of cybersecurity and data regulation.

Aymeric Riverieulx, Global Head of Digital Trust at SGS "SGS has always been committed to building trust for our clients throughout our century-long journey. Today, this pursuit extends far beyond the physical world—it now reaches into the digital realm, presenting us with our greatest challenge yet. In fact, digital trust isn’t entirely new; the real question is: how can we leverage technological advancements to earn and maintain that trust? And more importantly, how do we effectively manage risks while solidifying the very foundations of trust?" In response, Aymeric Riverieulx delved deeply into this topic across six key dimensions, highlighting that the regulatory landscape for artificial intelligence is undergoing rapid and transformative change.

Representatives from leading companies and institutions—including Cheetah Mobile, Dacheng Law Office, Zhongke Chuanda, Zixiang Technology, Xinglai Law Office, Four Dimensions Digital, Keli Consulting, and Dadao Think Tank—gathered together to discuss the security and challenges of the digital future, joining forces to create a heavyweight networking event that deeply focuses on technology and practical insights.

In the midst of a profound global wave of digital transformation, artificial intelligence technologies are rapidly reshaping industrial ecosystems and societal structures through exponential advancements. Large-scale models with hundreds of billions of parameters are propelling cognitive intelligence past critical thresholds, while L4-level autonomous driving is revolutionizing the transportation and mobility landscape by enabling commercialization at scale. Meanwhile, AI-driven medical innovations—such as millimeter-precise diagnostics and treatments—are upending traditional healthcare models altogether. These transformative breakthroughs are not only unlocking new avenues for economic growth but also giving rise to pressing global governance challenges, including data management and algorithmic ethics. In response, regulatory frameworks like the EU’s Artificial Intelligence Act and China’s Interim Measures for the Administration of Generative AI Services have been swiftly introduced, signaling the dawn of an era where AI development is driven simultaneously by innovation and compliance.

During the roundtable forum, four industry leaders engaged in an in-depth conversation centered on "The Collaborative Path for AI Regulation and Industry Integration." They explored key dimensions such as the practical challenges of technology implementation, the dynamic adaptation of legal frameworks, and the collaborative principles underlying the industry ecosystem. Drawing from global governance examples and local real-world experiences, they offered attendees a multifaceted perspective on AI governance.

At the meeting, Experts Focus on ISO/IEC 42001, the World’s First International Standard for AI Management Systems , highlighting that it provides a practical and actionable security benchmark framework for organizational technical governance. This standard’s strategically designed management system—integrating strategic planning, risk control, and ethical review— is increasingly becoming A globally recognized certification for building trustworthy AI systems in enterprises Currently, the industrial deployment of trillion-parameter models is accelerating the assetization of data resources, while autonomous driving technology is undergoing iterative advancements and entering a phase of deep integration with regulatory frameworks. Meanwhile, the evolution of international standards is providing a globally recognized language that facilitates the large-scale application of these technologies. This series of transformative shifts is not only reshaping the collaborative paradigm between technology R&D and industrial applications but also fostering a deeper convergence of infrastructure, governance systems, and business ecosystems. As a result, the explosive growth of artificial intelligence has transitioned from lab-based innovation to a global strategic competition that is redefining the future economic order.

Wang Jun, Director of Beijing Xinglai Law Firm (second from right)

The 2025 AI Governance Summit concluded successfully. This industry event, themed "Standards as the Bridge, Intelligence Illuminating the Future," not only established a global platform for AI governance dialogue but also outlined a clear path toward the collaborative advancement of technological innovation and compliant business development.

In the future, SGS will further deepen the integration of cutting-edge standards like ISO/IEC 42001 with local industries, acting as a vital bridge to foster global consensus on AI governance. We will champion the development of an inclusive and diverse AI governance ecosystem, leveraging our expertise to empower businesses and working hand-in-hand with partners to ensure steady progress in the intelligent era.