Week2 Discussion-AI Application in Finance
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Jan 9, 2024
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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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