拥抱科技，创造价值，共话AI与金融融合发展：2025腾冲科学家论坛——“科技+金融”论坛成功举办

Core Viewpoint - The forum emphasized the synergy between AI and finance, highlighting the importance of technology in driving financial innovation and supporting economic transformation [1][3][7]. Group 1: Leadership Insights - Gu Binglin stated that finance provides essential funding for technological development, while technological advancements enhance the efficiency of financial services [3]. - Xu Hao highlighted that finance is a key driver of technological innovation and industrial transformation, advocating for collaboration in three areas: promoting high-level openness in "AI + finance," expanding application scenarios, and strengthening risk prevention [7]. Group 2: Institutional Perspectives - Jiao Jie emphasized the need for the integration of technology and finance to achieve high-level technological self-reliance, focusing on optimizing financial resource allocation and developing high-quality financial talent [9]. - Zhang Yaping discussed the importance of addressing major needs in life sciences and medicine as a pathway for technological innovation to serve national interests [12]. Group 3: Keynote Speeches - Liang Tao noted that the deep integration of AI and finance is a necessary trend for industry transformation, affecting service models, customer needs, and market structures [15]. - Tian Xuan proposed reconstructing the financial institutional ecosystem to support long-term, high-uncertainty technological innovation, emphasizing the need for a more inclusive venture capital market and a stable macro policy environment [16]. Group 4: High-Level Dialogue - Ma Weihua pointed out that AI is reshaping the banking ecosystem and that financial institutions are integrating AI to enhance service delivery and risk management [21]. - Hu Jianhua stressed that AI must serve the real economy and that regulatory bodies should promote global collaborative governance to avoid isolation [23]. Group 5: Roundtable Forum - Zhang Wei indicated that AI will continue to change and empower the financial industry, although it may not lead to immediate fundamental changes [27]. - Lu Zhongtao warned against the misuse of AI technology and highlighted challenges in data, computing power, algorithm adaptation, and organizational management [29]. - Ge Liang asserted that AI is capable of fundamentally reconstructing financial operations, emphasizing its transformative potential [30]. - Wang Xindong discussed AI's deep empowerment in finance, focusing on customer service, product design, and risk management [31]. - Zhao Feng noted that AI's application in asset management is growing, but human decision-making remains crucial due to the need for clear logic and traceability [34]. - Yu Shilong mentioned that AI could revolutionize price discovery in financial markets by enhancing transaction efficiency and reducing information asymmetry [35].