Review Article
Good, Bad, Ugly? the Opportunities of AI in Finance
Shuxi Wang1* Kantarbayev Batyrbek2 and Uchkun Gulomov2
1Faculty of School of Information Technology & Management, University of International Business and Economics, Beijing, China
2Graduate Student of School of Information Technology & Management, University of International Business and Economics, Beijing, China
Shuxi Wang, Faculty of School of Information Technology & Management, University of International Business and Economics, China
Received Date: August 13, 2024; Published Date: August 27, 2024
Abstract
Artificial Intelligence (A.I.) has become increasingly popular due to emerging technologies, including generative AI, big data, deep learning, etc. It can provide insights from data that are hard to determine from a human perspective. Artificial Intelligence (A.I.) in finance helps to provide more personal and safer experiences for customers and develop cutting-edge solutions for a company. This paper surveys the challenges and opportunities in applying Artificial Intelligence (A.I.) to finance. It provides a state-of-the-art review of financial technologies, algorithmic trading, and fraud detection. Also, the paper identifies two research topics. One is how to use generative AI in algorithmic trading. The other is how to apply it to fraud detection. Last but not least, this paper discusses the challenges posed by generative AI, such as the ethical considerations, potential biases, and data security.
Keywords: Artificial Intelligence; Finance; algorithmic trading; Fraud detection
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Shuxi Wang* Kantarbayev Batyrbek and Uchkun Gulomov. Good, Bad, Ugly? the Opportunities of AI in Finance. Iris J of Edu & Res. 4(1): 2024. IJER.MS.ID.000576.
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