肖钢：应加快构建生成式AI金融应用的治理闭环

Group 1: Core Insights - The financial industry must adopt AI technologies to avoid obsolescence, with a focus on understanding AI's applicability to their specific needs [5][7][9] - The emergence of DeepSeek has democratized AI access for small and medium-sized financial institutions, enhancing their capabilities and transforming the financial landscape [3][4][11] - The development of a governance framework for AI in finance is essential to address new risks such as model hallucinations and algorithmic opacity [9][12] Group 2: Digital Economy and Financial Growth - In the first quarter, the core industries of the digital economy in China grew by over 10%, significantly outpacing GDP growth, contributing to a strong macroeconomic start [3][4] - Investment in emerging fields like AI and humanoid robots has surged, injecting vitality into the industry [3][4] - Eastern regions of China lead in digital economy contributions, with A-share listed companies in these areas accounting for over 90% of national revenue and net profit [3][4] Group 3: Future Predictions and Trends - The future of digital finance is expected to evolve into a more intelligent financial system, emphasizing safety and fairness [15] - AI models are anticipated to further empower the financial sector, enhancing international competitiveness [15] - The transition from product-centric to service-centric financial models is expected as AI becomes a foundational infrastructure in the industry [14][15]