专家献策AI敏捷治理：要重视生成式数据，提前“预埋”标识

Group 1 - The forum focused on "AI Innovation and Governance," discussing the advantages and challenges of AI development in China, including computing power support, talent cultivation, corporate responsibility, and agile governance mechanisms [1][3] - Experts emphasized the importance of "agile governance" in AI, highlighting the need for proactive management of generative data to ensure its ethical development, rather than reactive measures after issues arise [3][4] - The forum featured a call for a new ecosystem for AI development that is "safe, trustworthy, innovative, and inclusive," aiming to align technological progress with human welfare [5][7] Group 2 - The Vice President of the University of Science and Technology of China noted significant achievements in information technology infrastructure but identified a gap in the practical application of AI, emphasizing the need for data governance before implementing AI in sensitive environments like schools [4] - Representatives from Baidu and JD.com agreed that "agile governance" should involve simultaneous development and governance of AI technologies, ensuring that governance keeps pace with technological advancements [4][5] - Baidu's CTO outlined a comprehensive AI safety governance approach that includes strict data screening and model safety measures, while JD.com focuses on three levels of security: data protection, content labeling, and monitoring of sensitive content [5][6]