Week2 Discussion-AI Application in Finance

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American Military University *

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600

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Finance

Date

Jan 9, 2024

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docx

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2

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AI Application in Finance AI can be utilized in various ways in the finance industry. Using machine learning algorithms and pattern recognition, AI can analyze loan applicants’ credit scores and credit histories to rate borrowers’ creditworthiness. It can process a vast amount of transaction data to identify suspicious activities and the potential for fraud, such as suspicious logins, identity theft attempts, and fraudulent transactions. Furthermore, AI can enhance customer service by quickly and efficiently handling customer inquiries through chatbots. It can also help identify valuable customers, allowing for personalized services. In the realm of investments, AI can assist in predicting stock market trends and making informed investment decisions. Pros One of the advantages of using AI in finance is to accurate predictions and judgments. Based on vast amounts of finance data, AI provides accurate predictions and judgments, enabling financial institutions to make better financial decisions. Also, by processing transactions quickly, it can improve the speed and efficiency of financial transactions. By analyzing extensive transaction data, it can rapidly detect and block suspicious activities and fraudulent transactions, thus strengthening security. Furthermore, using chatbots to provide customer service 24/7 can increase customer satisfaction. Cons On the other hand, there is complexity in the technology. For developing and maintaining the AI system, it requires a high level of technical expertise and expenses. If not, It could lead to serious consequences, such as leaking personal data, hacking, or cyber- attack. Moreover, financial markets can be highly unpredictable, which can impact data collection and refinement. Additionally,
ethical concerns arise, as data alone may not consider individual unique circumstances or the overall market dynamics, potentially leading to fairness issues. Lastly, the automation of tasks previously performed by humans can lead to increased unemployment, a significant concern. AI in finance can be highly beneficial due to its speed, efficiency, and accurate predictions and judgments. However, the advancement of this technology brings forth various issues that need to be thoroughly considered, including technical and ethical concerns. Reference Google Cloud (n.d.). What is artificial intelligence(AI) in finance? https://cloud.google.com/discover/finance-ai#:~:text=starts%20at %202m43s.-,How%20is%20AI%20used%20in%20finance %3F,automate%20operations%20and%20reduce%20costs . Jeremy Bowman (2023). 5 Examples of Artificial Intelligence in Finance https://www.fool.com/investing/stock-market/market- sectors/information-technology/ai-stocks/ai-in-finance/ Kevin Smallen (2023). The Pros and Cons of Artificial Intelligence in the Financial Services Industry https://penchecks.com/the-pros-and-cons-of-artificial-intelligence- in-the-financial-services-industry/
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