AI-Driven Chatbots in Financial Institutions: Strengthening Fraud Prevention and Risk Management

The emerging sophisticating nature of fraud in the financial sector has forced institutions to embrace different technologies to guarantee the security of their functions. One such technology involves artificial intelligence-oriented chatbots that serve as instrumental tools in detecting fraud in real-time, enhancing customer engagement, as well as supporting financial-centred risk management frameworks. This paper reviews the extent to which AI-powered chatbots could be implemented in financial institutions and the timing of their utilization to prevent fraud. While the necessity of integrating this tool on transactions monitoring, customer education, and preventing fraud ahead are other areas that are considered in the study. In addition, this paper incorporates the application of paid surveys, the use of case studies, and the incorporation of these aspects into the research touching on the practicality, hurdles, and future aspects in the financial sector.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/icaiqsa64000.2024.10882416
Citations
2
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
0.98

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article

AI-Driven Chatbots in Financial Institutions: Strengthening Fraud Prevention and Risk Management

Chetan Trivedi, Sunil Kumar
2 citations
Impact of AI and Big Data on Business and Society
0.98
article

AI-Driven Chatbots in Financial Institutions: Strengthening Fraud Prevention and Risk Management

Chetan Trivedi, Sunil Kumar
article en
2 citations

Abstract

The emerging sophisticating nature of fraud in the financial sector has forced institutions to embrace different technologies to guarantee the security of their functions. One such technology involves artificial intelligence-oriented chatbots that serve as instrumental tools in detecting fraud in real-time, enhancing customer engagement, as well as supporting financial-centred risk management frameworks. This paper reviews the extent to which AI-powered chatbots could be implemented in financial institutions and the timing of their utilization to prevent fraud. While the necessity of integrating this tool on transactions monitoring, customer education, and preventing fraud ahead are other areas that are considered in the study. In addition, this paper incorporates the application of paid surveys, the use of case studies, and the incorporation of these aspects into the research touching on the practicality, hurdles, and future aspects in the financial sector.

Chandigarh University (IN)
Chandigarh University
Peace, Justice and strong institutions
Openalex Percentile: Top 19%
Impact of AI and Big Data on Business and Society
0.98
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AI-Driven Chatbots in Financial Institutions: Strengthening Fraud Prevention and Risk Management — Chetan Trivedi, Sunil Kumar · (2024) | TGRS Research Map | TGRS