Unveiling the Black Box: An XAI-based Anti-Money Laundering Model

Pei Yi Li, Ting Ting Chang, Yu Chiao Kuo, Chia Yu Lin, Heng Yu Chang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

摘要

In the existing anti-money-laundering process, judging abnormal transactions still requires human resources, which is time-consuming and requires companies to pay many human costs. Many experts and scholars have used AI to identify abnormal trading behavior of accounts, but the problem of highly unbalanced data leads to poor model performances. In addition, the complex neural network of deep learning models is considered a black box, which is less likely to explain the model's results. Therefore, our research proposed an "XAI-based AI Anti-Money Laundering Model."We utilize the DNN model to detect laundering, with a recall of 0.94. By applying SHAP to the model, we evaluate the effectiveness of the dataset's ten features on the model. We find that "Payment Format"is the most crucial feature of the anti-money laundering model.

原文???core.languages.en_GB???
主出版物標題11th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2024
發行者Institute of Electrical and Electronics Engineers Inc.
頁面293-294
頁數2
ISBN(電子)9798350386844
DOIs
出版狀態已出版 - 2024
事件11th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2024 - Taichung, Taiwan
持續時間: 9 7月 202411 7月 2024

出版系列

名字11th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2024

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???event.eventtypes.event.conference???11th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2024
國家/地區Taiwan
城市Taichung
期間9/07/2411/07/24

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