EAI Endorsed Transactions on AI and Robotics · 2024 · 13 citations · 34 references
BusinessFinanceFinancial ManagementBusiness EthicsFinancial EconomicsPredictive AnalyticsFinancial RiskFinancial Statement FraudFraud DetectionFraud Risk AnalyticsFraud Risk AssessmentFraud Risk ManagementAutomated Customer SupportCo-creation With StakeholdersCustomer Support ManagementLarge Language ModelsMarket FraudTextual Data ModelingUser TrustUser Trust Evaluation
In this paper, we delve into the transformative influence of Large Language Models (LLMs) in the financial sector. Through meticulous exploration, we uncover the multifaceted applications of LLMs, ranging from elevating customer support and fortifying fraud detection to reshaping market analysis and prediction. LLMs, with their unparalleled ability to process extensive textual data, bring forth innovative solutions and insights. However, we also address critical challenges such as user trust and ethical considerations, emphasizing the need for responsible integration. Collaborative efforts between industry stakeholders and researchers are essential prerequisites for making a pivotal stride towards a future where LLMs redefine financial practices, with efficiency, accuracy, and ethical precision shaping the industry’s evolution.
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ChatGPT for (Finance) research: The Bananarama Conjecture
Michael Dowling, Brian M. Lucey · Finance research letters · 2023 · 600 citations · Full text
Computing, Data Science, Finance +14
Financial Fraud Detection Based on Machine Learning: A Systematic Literature Review
Abdulalem Ali, Shukor Abd Razak, Siti Hajar Othman et al. · Applied Sciences · 2022 · 360 citations · Full text