The community of researchers at the intersection of AI and Finance has been growing steadily, but can benefit from increased exposure, especially at premier AI venues like AAAI.  Four years ago, a new conference was established with ACM: The ACM International Conference on AI in Finance (ICAIF). Since that time, ICAIF has been the major forum of discussion and exchange of research ideas in the use of AI in financial applications. Now, it is the right time for the whole AI community to consider addressing the open questions in the use of AI in this domain. 

The goal of this bridge is to bring together AI researchers and practitioners from industry and academia, to share technical advances and insights of the application of AI techniques to financial services in the private sector. The target audience is AI researchers that are actively working on the use of AI in financial private institutions as well as researchers that would like to explore the potential application of their work to this domain. From the industry side, we are open to the participation of researchers or professionals that would like to understand the potential application of AI to their business.

Call for Participation

The bridge would like to receive different types of submissions:

• Tutorials or System Demonstrations that introduce the main open problems and their potential solutions within AI / financial applications. Send proposals of tutorials to alberto.pozancolancho@jpmorgan.com. They should include:

  • • Topic of tutorial / System Demonstration

    • Description of its contents

    • Names and short bios of presenters

    • Length (up to two hours)

• Extended abstracts of 2-4 pages in AAAI format that showcase the current application of AI in financial services. Extended abstracts will be reviewed using a double blind process. Please, remove any reference to authors in the paper. The page limits apply to the inclusion of any appendices or supplementary material to the paper which should be submitted in the same PDF. We encourage students to submit their current work. Selected applications will be asked to present a poster during the bridge, and might receive mentorship sessions from academia and insdustry experts. Link to submissions: https://easychair.org/conferences/?conf=aifinbridge2024

Important Dates

• Submissions due: November 24th

• Notification to authors: December 6th

• AAAI early registration deadline: December 20th

• Bridge at AAAI: February 20th

Topics

All different types of submissions accept contents on topics that are relevant to general financial problems that may include but are not limited to:

• Generative models and data-driven simulation

• Planning, Search, Constraint-based Reasoning, Optimization, and Reinforcement learning

• Meta learning, federated learning, representation learning and transfer learning

• Natural language processing

• Time series prediction

• Validation and calibration of financial models

• Multi-agent systems and game-theoretic analysis of financial markets

• Explainability, ethics, and fairness of AI & ML systems

• Security, and privacy of AI & ML systems

• Computational regulation and compliance in finance

• Robustness and uncertainty quantification

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 modelling and risk management

• Trading (e.g., optimal execution, market making, smart order routing and hedging)

• Pricing strategies

• Robot-advising and investment recommendations

• Forecasting of financial scenarios

• Financial time series analysis and factor models

• Chatbots, automated analysis of documents

Schedule [TBD]

The bridge will include invited talks, panels and tutorials covering a wide range of topics at the intersection of AI and Financial Services. The bridge will also include networking sessions and mentoring opportunities for students.

Organizers

• Parisa Zehtabi, Ph.D., Vice President, J.P.Morgan AI Research, parisa.zehtabi@jpmorgan.com

• Alberto Pozanco, Ph.D., Vice President, J.P.Morgan AI Research, alberto.pozancolancho@jpmorgan.com

• Stefan Zohren, Ph.D., Associate Professor, Oxford University, stefan.zohren@eng.ox.ac.uk

• Ramin Hassani, Ph.D., AI Scientist at MIT CSAIL, rhasani@csail.mit.edu

• Guiling Wang, Ph.D., Distinguished Professor and Associate Dean for Research, Ying Wu College of Computing, gwang@njit.edu

• Nazanin Mehrasa, Ph.D., Senior Machine Learning Researcher, Borealis AI, nazanin.mehrasa@borealisai.com

• Eric Jiawiei, Ph.D., Machine Learning Researcher Team Lead, Borealis AI, jiawei.her@borealisai.com

• Daniel Borrajo, Ph.D., Executive Director, J.P. Morgan AI Research, daniel.borrajo@jpmorgan.com