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人工智能时代,如何应对数字金融发展机遇和挑战
Guo Ji Jin Rong Bao· 2025-05-19 07:21
Core Insights - Digital finance is undergoing a significant transformation driven by artificial intelligence, breaking traditional barriers and enhancing accessibility, efficiency, and intelligence in financial services [1][6] - The emergence of AI models like DeepSeek is enabling smaller financial institutions to leverage advanced technologies, leading to a substantial shift across the financial sector [7][8] Group 1: Digital Finance Development - The digital finance sector is experiencing robust growth, with a focus on improving efficiency and customer experience through AI applications [7] - Financial institutions are increasingly prioritizing the return on investment in technology, with a notable slowdown in growth rates for tech investments in banking compared to previous years [7] - The securities industry has seen the highest investment intensity in fintech among financial sub-sectors, reflecting a shift in focus towards more calculated spending [7] Group 2: Data Market and Infrastructure - The construction of a financial data market is deepening, driven by policies, scenarios, and technology, aimed at activating data elements and enhancing data circulation [8][13] - Financial institutions are exploring various development models to build data space infrastructure, which is essential for maximizing data utilization [8][13] Group 3: AI Governance and Risk Management - There is a pressing need for governance in the application of generative AI in finance, including strict adherence to AI algorithm registration systems [9][10] - Concerns have been raised about the potential risks associated with AI models, including the amplification of traditional risks and the challenges of regulatory compliance [9][11] - Financial institutions must adapt their business scenarios to specific technologies and reduce reliance on large tech companies to avoid systemic risks [11] Group 4: Regulatory Framework and Collaboration - A collaborative regulatory framework is necessary to support the integration of AI in finance, including the establishment of standards and shared infrastructure [12][13] - The focus should be on creating a conducive environment for innovation while ensuring risk management and compliance with regulatory standards [11][12]