Core Viewpoint - The transformation of risk governance in commercial banks is shifting from an "experience-driven" model to a "data intelligence-driven" paradigm, necessitating a balance between innovation and risk control in the digital economy era [1][2][3] Group 1: Digital Strategy Driving Logic - The dual pressure from external and internal environments compels commercial banks to reconstruct their risk governance systems [3][4] - External pressures include the digital migration of customer behavior, reshaping market competition, and rigid regulatory policies [3][4] - Internal efficiency drives banks to adopt digital strategies, with AI automation significantly improving operational efficiency [4][5] Group 2: Challenges of Traditional Risk Governance Paradigm - Traditional risk governance faces systemic flaws, including delayed information processing, narrow risk coverage, and inefficient collaboration mechanisms [5][6] - Information processing is hindered by reliance on static data, leading to delayed risk identification [5][6] - Risk coverage is limited, focusing primarily on large enterprises while neglecting small and medium-sized enterprises [5][6] Group 3: Intelligent Leap in Risk Governance Paradigm - Digital technology is fundamentally restructuring the risk governance framework of commercial banks, transitioning from experience-based to data-driven models [7][8] - Risk identification is evolving from static experience to dynamic penetration, utilizing non-structured data and behavior modeling [8][9] - Risk assessment is shifting from linear approval processes to intelligent control across the entire chain, enhancing efficiency and reducing operational risks [9][10] Group 4: Emergence of New Risks - Traditional risks are becoming more complex, with credit risk evolving into ecosystem-wide contagion and market risk transforming into algorithmic resonance shocks [14][15] - New risks are emerging, characterized by data sovereignty and security risks, as well as vulnerabilities due to over-reliance on technology [16][17] Group 5: Regulatory Response - A dual framework of agile regulation and resilient governance is proposed to address the complex risk ecology of the digital economy [18][19] - Agile regulation focuses on rule restructuring driven by technology, enhancing regulatory efficiency and transparency [19][20] - Resilient governance emphasizes adaptive rules and collaborative mechanisms to strengthen the system's ability to withstand shocks [21][22]