Group 1 - The event "Smart Government and Public Resource Trading Governance" was held in Guiyang, focusing on the integration of artificial intelligence in government construction and public resource trading governance [1][3] - The event was organized by the National Development and Strategic Research Institute of Renmin University of China, with support from various academic and corporate partners [3] Group 2 - The Vice President of Renmin University emphasized the importance of AI and big data in reshaping global governance and highlighted the need for digital transformation in public resource trading [4] - The Deputy Director of the National Information Center pointed out the significant improvements in digitalization of public resource trading platforms, while stressing the need for enhanced data governance and AI innovation [4] Group 3 - AI is currently forming a competitive landscape among the US, Europe, and China, with China showing advantages in application scenarios and industry chain completeness, despite challenges in high-end computing power and data quality [5] - AI applications in public resource trading have improved efficiency, such as reducing the time for compliance checks of bidding documents from 1 hour to 5 minutes, with accuracy increasing from 50% to 86% [5] Group 4 - Various local public resource trading institutions shared their experiences in digital transformation, with Guizhou gathering 200 million data entries and achieving over 80% problem rectification in compliance checks [7] - Shanghai has developed a collaborative trading platform system, expanding trading categories and surpassing a trading scale of over 1 trillion in three years [7] Group 5 - The "AI Application White Paper for Engineering Construction Project Bidding" was released, aiming to provide practical guidance for the industry [8] - The initiative to establish AI application standards in bidding processes is expected to reach a consensus by 2026, promoting standardized applications of AI in the sector [8]