Bei Jing Shang Bao·2025-10-29 09:14Core Viewpoint - The agricultural bank is addressing the challenges and opportunities presented by artificial intelligence in risk management and operational transformation within the banking sector [2][3]. Group 1: Risks and Challenges - The bank faces increasingly diverse risks, with artificial intelligence introducing new challenges related to data quality, model design, and algorithm effectiveness [2]. - 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 [2]. Group 2: Risk Management Strategies - The bank aims to enhance its risk prevention capabilities by improving the convenience and security of financial services, ensuring the protection of customer rights, especially for vulnerable groups [3]. - A robust risk control system is emphasized, focusing on technology empowerment, data quality enhancement, model management, and cybersecurity to safeguard customer information [3]. - The bank is committed to optimizing business processes and establishing a collaborative risk prevention community, including mechanisms for third-party cooperation and stress testing [3].