We welcome submissions to the 1^st International Joint Workshop on Explainable AI in Finance, combining the 5^th XAI-FIN workshop with Decoding the Black Box: Explainable AI for Trustworthy Financial Decision-Making and to be held on 15^th November 2025 in Singapore. The workshop, organised by teams spread across London and Singapore, is co-located with the 6^th ACM International Conference on AI in Finance (ICAIF, https://icaif25.org/), November 15-18, 2025, Singapore. 

Areas of Interest include (but are not limited to)

• Novel developments for existing XAI techniques, including global methods such as intrinsically interpretable models or surrogate modelling; local methods such as counterfactual explanations, feature attribution and argumentation; information-theoretic methods; and qualitative and quantitative metrics for explanation quality.
• Domain-specific requirements and challenges including real-time processing, regulatory compliance, and risk tolerance, temporal and dynamic explanations and integration with legacy systems.
• Practical deployment of XAI within financial domains: best practices and lessons learned.
• Novel research at the intersection of XAI and other desiderata of trustworthy AI/ML (e.g., fairness, robustness, and privacy).
• Review papers highlighting important challenges and open problems within XAI for Finance.
• User studies of consumer response to XAI techniques and AI model outputs.
• Novel datasets for use within the XAI in Finance community.
• Discussion on industry areas that are less automated and how best to leverage XAI.
• Quantitative approaches to financial regulation description and enforcement.

Important Dates (subject to Early-Bird registration deadline confirmation)

• Submission deadline: 1^st October 2025
• Author notification: 15^th October 2025
• Workshop: 15^th November 2025

Submission Guidelines

We invite submissions on EasyChair of short papers (4 pages) and long papers (8 pages). There is no limit on the number of pages for references and acknowledgments. 

Papers must be formatted according to ACM’s sigconf layout (see here for formatting instructions). Papers must be submitted in pdf format on EasyChair and do not need to be anonymous.

Each paper will get at least two reviews. 

The workshop will be non-archival in format, but we are intending to share the accepted papers on the workshop web page.

Organisation

The workshop is co-located with the 6^th ACM International Conference on AI in Finance (ICAIF) in Singapore.

Workshop Co-chairs

• Fabrizio Russo, PhD, Research Associate at the Department of Computing, Imperial College London
• Ranjan Satapathy, PhD, Senior Scientist at A*STAR IHPC
• Francesca Toni, PhD, Professor in Computational Logic at the Department of Computing, Imperial College London and Royal Academy of Engineering/J.P. Morgan Research Chair in Argumentation-based Interactive Explainable AI
• Song Yuting, PhD, Senior Scientist at A*STAR IHPC

Assistant Chair & Web Master

• Junqi Jiang, PhD Candidate, Imperial College London

Organizing Committee:

• Fei Gao, PhD, Portfolio Lead and Principal Scientist at A*STAR IHPC
• Rick Goh, PhD, Senior Principal Scientist and Director of Computing & Intelligence at A*STAR’s IHPC and Associate Professor (Adj.) at Duke-NUS Medical School.
• Andreas Joseph, PhD, Research Advisor, Advanced Analytics Division, Bank of England
• Gianmarco Mengaldo, PhD, Assistant Professor in the Department of Mechanical Engineering and Department of Mathematics (courtesy) at National University of Singapore
• Mark Somers, PhD, Executive Director at Fifty-One Degrees

Program Committee (tentative):

• Marco Aspromonte (Intesa San Paolo)
• Emanuele Albini (JP Morgan AI Research)
• Patrick Pun Chi Seng (SPMS, NTU)
• William Gu (IHPC, A*STAR)
• Keane Ong (AIDF, NUS)
• Jiawen Wei (NUS)
• Kun Gao (IHPC, A*STAR)
• Hamed Ayoobi (Imperial College London)
• Andrea Coletta (Bank of Italy)
• Alessandro Castelnovo (Intesa San Paolo)
• Xiuyi Fan (Nanyang Technological University, Singapore)
• Aldo Glielmo (Bank of Italy)
• Faisal Hamman (University of Maryland College Park)
• Junqi Jiang (Imperial College London)
• Francesco Leofante (Imperial College London)
• Nico Potyka (Cardiff University)
• Antonio Rago (Imperial College London)
• Shubham Sharma (JP Morgan AI Research)
• Xiang Yin (Imperial College London)
• Ricardo Shirota Filho (IHPC, A*STAR)