Workshop on AI in Finance

Welcome to the 2nd edition of the Workshop in AI and Finance at ECAI-2025.

The importance of Artificial Intelligence has grown a lot in the last decade with companies of different sizes starting their own AI research labs. Recently, this phenomenon started to take place also in the financial service industry with large financial corporations equipping themselves with research departments to appropriately leverage AI in the context of their business. Therefore, this workshop aims to bring together researchers and practitioners both from industry and academia in order to share and discuss recent advancements in the context of AI applications for financial services. The intended target audience is represented by all AI researchers actively investigating ways to leverage AI in finance, researchers and practitioners that would like to explore potential applications of their work in this domain, and professionals looking for a deeper understanding of the potential application AI has in the context of their business.

This workshop is related to a series of events at the intersection of AI in Finance: ICLR Workshop on Advances in Financial AI, AI for Social Impact, KDD Finance Day.

Previous year's workshop can be found here: WAIFin2024

Important Dates

• Submissions due:  May 23 2025 23:59 AoE

• Notification to authors: July 11 2025 23:59 AoE

• Camera Ready submission deadline: TBD

• Workshop date: October 26 2025

Registration

To participate in the workshop, please register via the ECAI website. Please note that selecting the weekend option is sufficient for attenting solely in the workshop.

Invited Talks

 Coming soon

  Accepted Papers

• Artificially Intelligent Multi Agent Influence Diagrams for Governance Models in Decentralized Finance (ORAL PRESENTATION)
  
  

• A ML dataflow to monitor ESG-related news articles and detect corporate greenwashing (ORAL PRESENTATION)

• Agentic NLP for Thematic Analysis of Fed Speeches: Yield Impacts under Jerome Powell (2018–2025) (POSTER)
  
  

• CAESar: Conditional Autoregressive Expected Shortfall (ORAL PRESENTATION)
  
  

• Can News Predict the Direction of Oil Price Volatility? A Language Model Approach with SHAP Explanations (ORAL PRESENTATION)
  
  

• Causal Discovery for Stochastic Power Law Time Series (POSTER)
  
  

• Cryptocurrencies in the Balance Sheet: Insights from (Micro)Strategy - Bitcoin Interactions (ORAL PRESENTATION)
  
  

• Data-Driven Strategy for Merchant Incentive Optimization in Digital Payment Ecosystems (POSTER)
  
  

• Datachat: a multi-agent assistant for domain specific tasks (POSTER)
  
  

• Generative Business Process AI Agents for Enterprise Resource Planning in Finance (ORAL PRESENTATION)
  
  

• Graph Neural Networks for Financial Time Series Forecasting: A Multi-Modal Edge Construction Approach (POSTER)
  
  

• Hierarchical Topic Modeling and New Intent Discovery with LLMs (ORAL PRESENTATION)
  
  

• How does AI understand Central Bank communication? (POSTER)
  
  

• Human-machine integration in stock market prediction (POSTER)
  
  

• MAFA: A Multi-Agent Framework for Annotation (ORAL PRESENTATION)
  
  

• Methodological Insights into Structural Causal Modelling and Uncertainty-Aware Forecasting for Economic Indicators (POSTER)
  
  

• Monetary Policy Forecasting from Central Bank Communications: An Embedding-Based Approach (POSTER)
  
  

• Prompting for Policy: Interpreting Monetary Policy Signals with Synthetic LLM Personas (ORAL PRESENTATION)
  
  

• Reinforcement Learning and Agent-Based Models for Execution Algorithm Optimisation (ORAL PRESENTATION)
  
  

• Reinforcement Learning for Optimal Execution when Liquidity is Time-Varying (ORAL PRESENTATION)
  
  

• Reinforcement Learning for Optimal Execution with the Queue Reactive Model (ORAL PRESENTATION)
  
  

• Sentiment Analysis vs. techical indicators in the forecasting of niche commodity markets returns (POSTER)
  
  

• Synthetic Query Generation for Expanding Intent Recognition (POSTER)
  
  

• TABL-ABM: A Hybrid Framework for Synthetic LOB Generation (ORAL PRESENTATION)
  
  

• The Liquidity Game: Strategic Coordination and Market Design in Bilateral Trading (ORAL PRESENTATION)
  
  

• Topic Labeling Using Large Language Models (POSTER)
  
  

• Unlocking NACE Classification Embeddings with OpenAI for Enhanced Analysis and Processing (POSTER)

  Industry Panel

• Daniele Regoli - Intesa Sanpaolo

• Andrea Coletta - Banca D'Italia

• Namid Stillman - Simudyne

  Organizers

 Program Commitee

• Alessio Brini 

• Andrea Coletta

• Anne Rolim

• Anton Esmail-Yakas

• Antonio Briola

• Brian Huge

• Federico Cacciamani

• Fernando Acero

• Giovanni Dispoto

• Giulia Preti

• Junhyeong Lee

• Keane Wei Yang Ong

• Lorenzo Lucchese

• Maria Katsidoniotaki

• Meghana Holla

• Michele Trapletti

• Nazanin Mehrasa

• Rasmus Jensen

• Saeid Amiri

• Santiago Marro

• Tomas España

• Uljad Berdica

• Yadh Hafsi

• Zheng Wang

Sponsors