International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Artificial Intelligence On Financial Decision Making

Author(s) Megha A Nair, Dr. Geetha K Joshi
Country India
Abstract Artificial intelligence (AI), powered by machine learning algorithms, is capable of extracting information efficiently from big data and, therefore, has great potential for improving financial decision-making. Firstly, AI algorithms and machine learning techniques augment the velocity and precision of financial analyses, thereby enabling swift and well-informed decision making. These capabilities empower financial professionals to make more accurate and data-driven decisions. Secondly, AI technologies hold the potential to mitigate the impact of human biases, which frequently influence financial decision making. By relying on objective algorithms and data-centric models, AI systems can alleviate cognitive biases such as overconfidence or herd mentality, thereby fostering more rational and unbiased decision making. These AI-driven tools offer personalized recommendations, address customer queries, and aid in portfolio management, thereby enriching the overall customer experience and satisfaction. Nonetheless, the integration of AI in financial decision making presents certain challenges and ethical considerations. Matters such as algorithmic transparency, data privacy, and regulatory compliance demand meticulous attention to ensure responsible and ethical utilization of AI in the realm of finance. However, it is crucial to recognize the significance of ethical considerations to ensure the responsible and transparent deployment of AI in the financial domain. The aim of this working paper is to provide a brief introduction to artificial intelligence and highlight specific potential applications in financial and investment decision making. On the one hand, it is about where AI is already being used today in many areas of the financial industry.
Keywords Artificial intelligence, Algorithmic Transparency, Data Privacy, Regulatory Compliance.
Field Engineering
Published In Volume 7, Issue 5, September-October 2025
Published On 2025-09-23
DOI https://doi.org/10.36948/ijfmr.2025.v07i05.56293
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E-ISSN 2582-2160
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