Group 1: Core Themes of the AI Conference - The 2025 World Artificial Intelligence Conference was held in Shanghai, focusing on "Intelligent Era and Global Cooperation" [1] - The conference included high-level meetings on AI governance and international cooperation forums on AI standardization [1] - A governance practice guide for AI-enabled industry applications was released, highlighting the need for responsible innovation in AI [1] Group 2: International Standards and Regulations - The international community is accelerating the establishment of a "technology-standard-regulation" integrated governance system for AI in industrial applications [2] - Major international standard organizations are collaborating to address the fragmentation of standards and promote AI development [2][3] - The EU's AI Act introduces a risk-based regulatory framework for AI systems, categorizing them into different risk levels [4] Group 3: Key Standards and Guidelines - Various foundational standards have been developed under ISO/IEC JTC 1, including guidelines on AI concepts, management systems, and risk management [3] - IEC is focusing on standardization in industrial automation and smart manufacturing, with specific standards addressing predictive maintenance and AI safety [3] - ITU initiatives aim to promote ethical AI and develop standards across multiple sectors, including smart cities and healthcare [3] Group 4: AI Application in Industry - Germany's integration of AI with Industry 4.0 emphasizes the creation of interconnected and autonomous production systems [7] - Companies like Bosch and Siemens are leveraging AI to enhance manufacturing efficiency and optimize complex industrial systems [7][8] - The U.S. is prioritizing AI in manufacturing, with companies like GE using AI to improve reliability and efficiency in production processes [8] Group 5: Future Trends in AI and Industry - The convergence of AI with industrial internet, 5G, and digital twins is accelerating in the manufacturing sector [9] - The EU's AI Act emphasizes the importance of standardization in regulatory compliance for high-risk AI systems [9] - AI is transitioning from experimental phases to practical applications in industrial environments, enhancing efficiency and sustainability [9] Group 6: Governance and Development Strategies - The global AI landscape is evolving, necessitating a governance approach that aligns with national conditions and international standards [14][17] - Recommendations for China's AI development include focusing on practical applications, enhancing industrial innovation, and establishing a robust governance framework [16][17] - International collaboration is essential for aligning development strategies and standards, preventing market fragmentation [17]

活动现场，西门子长三角人工智能共创实验室2.0启动，聚焦IT/OT融合、工业基础模型、"AI+数字 孪生"及人才发展四大方向。未来，依托苏州制造业集群优势，该实验室将加速推动"妙一空间"的产业 化应用。通过构建连接虚实空间的工业级数字孪生映射，联合生态伙伴共同探索更多落地场景，打造面 向未来的工业协同新范式。 昨天（6月12日），西门子在苏州高新区举办首届"科技与人才日"活动。活动现场，面向工业场景 的"妙一空间"全球首次亮相，西门子长三角人工智能共创实验室2.0正式启动。 据介绍，此次亮相的"妙一空间"可构建逼真的工业数字孪生场景，依托轻量化技术框架，打破物理 空间限制，实现三维协作、高效同行。该功能可无缝集成到西门子云原生IT/OT集成开发工具包工易魔 方，用户可通过工易魔方灵活定义工作流程，自由搭建与实时验证复杂工业场景，真正实现自由编程、 即刻执行。同时，平台支持人工智能算法在虚拟空间的快速验证与部署，实现全流程零风险测试与高效 落地，为工业企业带来更安全高效的创新环境。通过技术赋能，用户能在"妙一空间"与人工智能协同探 索与试验，从创意构想到验证落地的全过程中释放更多人本智慧与创造力。 当天，"AI ...