|On the cover: On the cover: Nourished by the gigantic data and empowered by increasing computing facilities, Artificial Intelligence (AI) is setting us free from many burdensome routines. With AI muscles, we have become faster and smarter than ever. AI is reshaping the future of industries and our lives, enabling paradigm shifts in many disciplines of science and even paving the road to the metaverse. But scientists are still facing endless choices to navigate their innovation processes as previously. Meanwhile, collaborations are urgently needed amongst researchers from multidisciplinary studies. So we do hope the shared values of truth, righteousness, and peace can be cherished deeply to make our blue planet a better place for the whole ecosystem.|
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|Position: Home > issue > November 28, 2021 Volume 2, Issue 4|
|Intelligent financial fraud detection practices in post-pandemic era|
|Category: Review Download: PDF Figure Endnote|
|Author: Xiaoqian Zhu, Xiang Ao, Zidi Qin, Yanpeng Chang, Yang Liu, Qing He, Jianping Li|
The great losses caused by financial fraud have attracted continuous attention from academia, industry, and regulatory agencies. More concerning, the ongoing coronavirus pandemic (COVID-19) unexpectedly shocks the global financial system and accelerates the use of digital financial services, which brings new challenges in effective financial fraud detection. This paper provides a comprehensive overview of intelligent financial fraud detection practices. We analyze the new features of fraud risk caused by the pandemic and review the development of data types used in fraud detection practices from quantitative tabular data to various unstructured data.
Zhu X., Ao X., Qin Z., et al. (2021). Intelligent Financial Fraud Detection Practices in Post-Pandemic Era. The Innovation. 2(4),100176.