Special Session 1

This Special Session focuses on the transformative role of artificial intelligence (AI) in the financial technology (FinTech) sector, a domain increasingly characterized by complex, high‑dimensional, and time‑sensitive data. It explores advanced AI architectures—including deep learning, hybrid models, and intelligent decision systems—designed to address core challenges in financial services such as fraud detection, algorithmic trading, credit risk assessment, personalized banking, and regulatory compliance. A key emphasis is placed on solutions that operate under real‑world constraints, including low‑latency requirements, strict data privacy regulations, and the critical need for explainability in high‑stakes decisions. By integrating heterogeneous data streams (transaction logs, market feeds, customer behavior, alternative data, and unstructured text) and leveraging recent advances in representation learning, graph neural networks, federated learning, and hybrid AI, this session aims to showcase cutting‑edge research that bridges the gap between academic innovation and practical FinTech deployment.
Aims and Scope
The purpose of this Special Session is to foster innovation in AI‑driven financial technologies by bringing together researchers and practitioners working at the intersection of machine learning, computational intelligence, and financial systems. We encourage submissions that present empirical case studies, open‑source frameworks, or deployment experiences illustrating the practical impact of AI in FinTech, as well as theoretical work that advances the state of the art in robust, fair, and scalable financial AI.

The topics of interest include, but are not limited to:

1. Generative AI for Synthetic Data
2. LLMs and Multi-Agent Systems
3. Neuro-Symbolic RegTech Systems
4. Multimodal Credit & Identity Verification
5. GNNs for Systemic DeFi Risk
6. Causal AI in Finance
7. Fairness and Bias Auditing
8. Human-in-the-Loop Financial AI
9. Adversarial Robustness in FinTech
10. MLOps for Regulated Finance
11. Federated Learning with Confidential Computing
12. Quantum Machine Learning in Finance
13. AI for Climate & ESG Analytics
14. Intelligent Automation in InsurTech
15. AI-Driven Liquidity & Treasury Management

Submission Guidelines

Please submit your manuscript via Electronic Submission System (account is needed). (Please choose the special number when you make the submission.)

Important Dates

    ◆ Submission of Full Papers: Apr. 20, 2026
    ◆ Notification of Review Result of Papers from Special Sessions: May. 10, 2026