AI for Finance - HIAAC
2022 – 2026
Credit Scoring
Fraud Detection
Edge Computing
Explainable AI
Fairness
Financial Inclusion
Machine Learning
Interpretability
The goal of this research line is to develop robust and transparent AI models for credit analysis and similar problems in the financial sector, such as fraud detection.
The goal of this research line is to develop robust and transparent AI models for credit analysis and similar problems in the financial sector, such as fraud detection. To this end, we use advanced AI techniques and edge computing to process data efficiently and address challenges such as data scarcity and the dynamic nature of information. The goal is to build models that adapt to change, are fair, and explain their decisions clearly, allowing customers to understand and contest the results. Our work seeks to advance research in AI for finance, creating innovative solutions that improve decision-making and promote financial inclusion.
