Financial Services
Overview
AI in financial services supports tasks such as credit assessment, fraud detection, document analysis, customer support, investment advice, and payment processing. Methods range from traditional machine learning and time-series models to financial foundation models, retrieval-augmented generation, and multi-agent systems that use tools and structured workflows. Researchers evaluate these systems on financial benchmarks and real operational data, while also studying fairness, security, regulatory compliance, and auditability. A central challenge is that strong task scores do not always translate into reliable end-to-end decisions: models can misuse evidence, violate user constraints, or behave inconsistently under changing conditions.
Latest papers
106 papers8 papers in the last four weeks, down 43% on the four weeks before. 0.0% of all new papers.