The Impact of AI Software on Financial Transactions

The rapid advancement of artificial intelligence (AI) has profoundly transformed financial trading, enhanced efficiency, accuracy, and customer service while introducing new challenges. This paper explores AI’s applications in quantitative trading, risk forecasting, and intelligent customer interact...

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Main Author: Li Boyang
Format: Article
Language:English
Published: EDP Sciences 2025-01-01
Series:SHS Web of Conferences
Online Access:https://www.shs-conferences.org/articles/shsconf/pdf/2025/09/shsconf_icdde2025_02029.pdf
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author Li Boyang
author_facet Li Boyang
author_sort Li Boyang
collection DOAJ
description The rapid advancement of artificial intelligence (AI) has profoundly transformed financial trading, enhanced efficiency, accuracy, and customer service while introducing new challenges. This paper explores AI’s applications in quantitative trading, risk forecasting, and intelligent customer interactions, demonstrating its ability to optimize decision-making and reduce operational costs. However, the integration of AI also raises significant concerns, including data security risks, algorithmic opacity, and increased market volatility, as evidenced by incidents like the 2010 “Flash Crash” and recent AI-driven stock fluctuations. To address these challenges, the paper proposes strengthening data protection through advanced encryption and access controls, improving algorithmic transparency with Explainable AI (XAI), and enhancing regulatory frameworks to monitor high-frequency trading. By balancing technological innovation with robust risk management and policy support, the financial industry can harness AI’s potential while ensuring market stability. The study underscores the need for collaboration among financial institutions, technologists, and regulators to foster sustainable development in AI-driven financial markets.
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spelling doaj-art-2c29feb24a80435ba29000a3b2f71bb02025-08-20T02:43:17ZengEDP SciencesSHS Web of Conferences2261-24242025-01-012180202910.1051/shsconf/202521802029shsconf_icdde2025_02029The Impact of AI Software on Financial TransactionsLi Boyang0Asian-Australian Business School, Liaoning UniversityThe rapid advancement of artificial intelligence (AI) has profoundly transformed financial trading, enhanced efficiency, accuracy, and customer service while introducing new challenges. This paper explores AI’s applications in quantitative trading, risk forecasting, and intelligent customer interactions, demonstrating its ability to optimize decision-making and reduce operational costs. However, the integration of AI also raises significant concerns, including data security risks, algorithmic opacity, and increased market volatility, as evidenced by incidents like the 2010 “Flash Crash” and recent AI-driven stock fluctuations. To address these challenges, the paper proposes strengthening data protection through advanced encryption and access controls, improving algorithmic transparency with Explainable AI (XAI), and enhancing regulatory frameworks to monitor high-frequency trading. By balancing technological innovation with robust risk management and policy support, the financial industry can harness AI’s potential while ensuring market stability. The study underscores the need for collaboration among financial institutions, technologists, and regulators to foster sustainable development in AI-driven financial markets.https://www.shs-conferences.org/articles/shsconf/pdf/2025/09/shsconf_icdde2025_02029.pdf
spellingShingle Li Boyang
The Impact of AI Software on Financial Transactions
SHS Web of Conferences
title The Impact of AI Software on Financial Transactions
title_full The Impact of AI Software on Financial Transactions
title_fullStr The Impact of AI Software on Financial Transactions
title_full_unstemmed The Impact of AI Software on Financial Transactions
title_short The Impact of AI Software on Financial Transactions
title_sort impact of ai software on financial transactions
url https://www.shs-conferences.org/articles/shsconf/pdf/2025/09/shsconf_icdde2025_02029.pdf
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