Bei Jing Shang Bao·2025-10-29 06:48Core Insights - The core viewpoint emphasizes the dual role of artificial intelligence in transforming banking operations while simultaneously introducing new risks and challenges [1][2] Group 1: Risks in Banking - Banks face increasingly diverse risks, with AI-driven risks embedded in technology architecture, differing from traditional IT risks [1] - The effectiveness and safety of AI applications depend on data quality, model design, and algorithm soundness; flaws in any of these can lead to erroneous user profiles or decision-making, resulting in new financial risks [1] - The complexity of risk forms has increased, highlighting the importance of data security and personal information protection, as well as rising legal compliance risks due to cross-border data flow [1] Group 2: Risk Management Strategies - Banks must enhance their risk prevention systems and capabilities, focusing on improving the convenience and safety of financial services while protecting the rights of vulnerable groups [2] - Emphasis on serving the high-quality development of the real economy, supporting modern industrial systems, and promoting rural revitalization and consumer welfare through innovative financial services [2] - Strengthening risk control systems through technology, improving data collection quality, managing models comprehensively, and ensuring cybersecurity to protect customer information [2] - Encouraging optimization and innovation in business processes, establishing risk disposal mechanisms, and creating a collaborative risk prevention community with third-party cooperation [2]