金融业安全治理问题 引发广泛关注

Group 1 - The financial industry is increasingly leveraging advanced technologies such as AI, big data, and blockchain to enhance services and operational efficiency [1] - However, the integration of these technologies also presents significant risks, including data security, algorithmic transparency, and potential systemic failures [2] - The industry faces challenges related to data privacy, model interpretability, and the risk of collective failures due to similar data sources and AI models across institutions [2][3] Group 2 - To address the risks associated with AI, the industry must develop a robust governance framework that includes standards for model explainability and data security [3] - Financial institutions are encouraged to adopt responsible AI development principles, embedding fairness, accountability, and resilience into AI systems [4] - Collaboration among stakeholders is essential to share best practices, establish testing benchmarks, and cultivate talent to enhance governance in financial technology [4]