Topic Areas

ICAIF ’25 invites high-quality research paper submissions that connect AI and Finance from both methodological and applicational perspectives.

Methodologies should be relevant to general financial problems that may include but are not limited to:

    Generative AI, simulation, and synthetic data generation
    Foundation models for financial decision-making
    AI agents and multi-agent systems
    Reinforcement learning and sequential decision-making
    NLP and Multimodal financial data analysis (text, image, time series, audio)
    Trustworthy and responsible AI in finance — explainability, ethics, fairness, security, and privacy of AI & ML systems
    AI governance, computational regulation, and compliance
    AI-driven risk management and fraud detection
    Meta-learning and transfer learning
    Federated learning and decentralized finance
    Robustness and uncertainty quantification
    Validation and calibration of financial models
    Quantum computing
    Graph theory and network analysis

Potential applications of interest may include, but are not limited to:

    Fraud detection for credit cards and mortgages
    Early detection of firm defaults
    Blockchain and cryptocurrency
    Risk modeling and risk management
    Trading (for example, optimal execution, market making, smart order routing, and hedging)
    Asset pricing
    Robot-advising and investment recommendations
    Forecasting of financial scenarios
    Financial time series analysis and factor models
    Understanding customer behaviour for credit decisioning, servicing and recommendations
    AI-Driven Financial Inclusion 
    Environmental, Social, and Governance (ESG) Investing