人工智能技术在银行信贷风险管理中的创新应用

Shuochen Bi, Wenqing Bao
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引用次数: 0

摘要

随着科技的飞速发展,特别是人工智能(AI)技术的广泛应用,商业银行的风险管理水平不断达到新的高度。在当前的数字化浪潮中,人工智能已成为金融机构尤其是银行业战略转型的重要推动力。对于商业银行而言,资产质量的稳定性和安全性至关重要,直接关系到银行的长期稳定发展。其中,信贷风险管理尤为核心,因为它涉及到大量资金的流向和信贷决策的准确性。因此,建立科学有效的信贷风险决策机制对商业银行而言具有重要的战略意义。在此背景下,人工智能技术的创新应用为银行信贷风险管理带来了革命性的变化。通过深度学习和大数据分析,人工智能可以准确评估借款人的信用状况,及时识别潜在风险,为银行提供更准确、更全面的信贷决策支持。同时,人工智能还可以实现实时监控和预警,帮助银行在风险发生前进行干预,减少损失。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Innovative Application of Artificial Intelligence Technology in Bank Credit Risk Management
With the rapid growth of technology, especially the widespread application of artificial intelligence (AI) technology, the risk management level of commercial banks is constantly reaching new heights. In the current wave of digitalization, AI has become a key driving force for the strategic transformation of financial institutions, especially the banking industry. For commercial banks, the stability and safety of asset quality are crucial, which directly relates to the long-term stable growth of the bank. Among them, credit risk management is particularly core because it involves the flow of a large amount of funds and the accuracy of credit decisions. Therefore, establishing a scientific and effective credit risk decision-making mechanism is of great strategic significance for commercial banks. In this context, the innovative application of AI technology has brought revolutionary changes to bank credit risk management. Through deep learning and big data analysis, AI can accurately evaluate the credit status of borrowers, timely identify potential risks, and provide banks with more accurate and comprehensive credit decision support. At the same time, AI can also achieve realtime monitoring and early warning, helping banks intervene before risks occur and reduce losses.
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