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北京银行明立松:AI应用应关注技术风险与数据安全
Core Viewpoint - The Global Finance Forum held in Beijing focuses on the theme "Towards a Digital Intelligence Era: China and the Global Economy," highlighting the importance of digital transformation in the financial sector [1]. Group 1: Digital Transformation at Beijing Bank - Beijing Bank has undergone a three-year digital transformation, establishing a unified financial operating system and a unified data foundation to address issues like system silos and data isolation, which are crucial for AI development [3]. - The unified financial operating system enables trusted data sharing and resource allocation, facilitating rapid business application deployment and overcoming communication barriers between systems [3]. - The unified data foundation supports enterprise-level data applications and ensures end-to-end lifecycle management, addressing problems of data centralization and uniformity necessary for AI development [3]. Group 2: AI Development and Resource Management - Beijing Bank has centralized its AI computing resources through a corporate-level AI platform, enhancing operational efficiency and data analysis capabilities while reducing overall costs of intelligent computing hardware [4]. - The bank emphasizes the importance of managing AI technology risks, including issues related to model hallucinations and knowledge base quality, and suggests measures like manual verification and quality checks for uploaded data [5]. Group 3: Compliance and Ethical Considerations in AI - The bank stresses the need for a strong awareness of data security and compliance with laws and regulations as AI applications involve vast amounts of data [5]. - It advocates for a balanced approach to AI development that prioritizes legal compliance while fostering innovation, ensuring that AI applications are fair, transparent, and do not produce discriminatory or illegal outputs [6].