Article
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Artificial Intelligence in Risk Protection for Financial Payment Systems
Version 1
: Received: 5 July 2024 / Approved: 12 July 2024 / Online: 15 July 2024 (02:59:04 CEST)
How to cite: Xu, Q.; Xu, L.; Jiang, G.; He, Y. Artificial Intelligence in Risk Protection for Financial Payment Systems. Preprints 2024, 2024071098. https://doi.org/10.20944/preprints202407.1098.v1 Xu, Q.; Xu, L.; Jiang, G.; He, Y. Artificial Intelligence in Risk Protection for Financial Payment Systems. Preprints 2024, 2024071098. https://doi.org/10.20944/preprints202407.1098.v1
Abstract
In today's highly digitized and globalized financial environment, the need to protect payment systems from risk is more urgent than ever. Artificial intelligence (AI) technology is rapidly becoming a key tool in this space, with machine learning algorithms, big data analytics, and real-time monitoring enabling AI to effectively detect and prevent fraudulent activity, optimize risk management processes, and deliver intelligent services. AI not only improves the security and efficiency of payment systems, but also significantly improves customer satisfaction and loyalty. With the continuous development of AI technology and financial payment technology, the financial payment industry will usher in more innovations and changes in the future, further optimizing the payment process, improving payment efficiency, and ensuring payment security.
Keywords
Artificial intelligence (AI); Financial payment; Risk management; Customer service
Subject
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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