The Role of Artificial Intelligence in Modern Finance: Current Applications and Future Prospects

The finance industry has been radically re-invented by AI and is now providing novel solutions to a data-intensive and ever more sophisticated marketplace. In this article, AI applications in finance portfolio management, risk management, and algorithmic trading are discussed in depth. The overview discusses some emerging techniques (including deep learning, synthetic data generation and deep reinforcement learning) and problems (such as interpretability, regulation compliance, algorithmic bias). The paper synthesizes existing research, outlining the limitations and prospects for AI technologies to enable financial decision-making, risk-taking and trading. The paper will address the promise and challenges of AI in finance, to contribute to the growing literature and inform scholars, practitioners and policymakers, leading to a more effective and resilient financial ecosystem.

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Publication Details

Journal
Applied and Computational Engineering
Published
2024-12-26
DOI
https://doi.org/10.54254/2755-2721/2025.18825
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.00
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article

The Role of Artificial Intelligence in Modern Finance: Current Applications and Future Prospects

Sheng Wu
Applied and Computational Engineering
Impact of AI and Big Data on Business and Society
article

The Role of Artificial Intelligence in Modern Finance: Current Applications and Future Prospects

Sheng Wu
article en

Abstract

The finance industry has been radically re-invented by AI and is now providing novel solutions to a data-intensive and ever more sophisticated marketplace. In this article, AI applications in finance portfolio management, risk management, and algorithmic trading are discussed in depth. The overview discusses some emerging techniques (including deep learning, synthetic data generation and deep reinforcement learning) and problems (such as interpretability, regulation compliance, algorithmic bias). The paper synthesizes existing research, outlining the limitations and prospects for AI technologies to enable financial decision-making, risk-taking and trading. The paper will address the promise and challenges of AI in finance, to contribute to the growing literature and inform scholars, practitioners and policymakers, leading to a more effective and resilient financial ecosystem.

Applied and Computational EngineeringVol. 120(1)
Northeastern University (US)
Openalex Percentile: Top 70%
Impact of AI and Big Data on Business and Society
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