Good, Bad, Ugly? The Opportunities of AI in Finance

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

Authors

Publication Details

Journal
Journal of Medicine and HealthCare
Published
2024-08-31
DOI
https://doi.org/10.47363/jmhc/2024(6)283
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00
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article

Good, Bad, Ugly? The Opportunities of AI in Finance

Shuxi Wang
Journal of Medicine and HealthCare
FinTech, Crowdfunding, Digital Finance
article

Good, Bad, Ugly? The Opportunities of AI in Finance

Shuxi Wang
article en

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

Journal of Medicine and HealthCare
Openalex Percentile: Top 72%
FinTech, Crowdfunding, Digital Finance
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