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Please share the below with any interested parties. Apologies for multiple postings.</div>
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<b>Important dates:</b></div>
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Submission deadline: 1<sup>st</sup> October</div>
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Workshop date: 15<sup>th</sup> November</div>
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best wishes</div>
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Francesca</div>
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====<br>
Prof Francesca Toni<br>
Department of Computing, Imperial College London, UK<br>
http://www.doc.ic.ac.uk/~ft<br>
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XAI-FIN-2025: International Joint Workshop on Explainable AI in Finance: Achieving Trustworthy Financial Decision-Making</div>
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Singapore, November 15, 2025</div>
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<b>Workshop website</b></div>
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<u><a style="color: blue; margin: 0px;" data-auth="NotApplicable" data-linkindex="0" title="https://sites.google.com/view/2025-workshop-explainable-ai/" class="x_OWAAutoLink" id="OWA236f5041-f9a1-e28a-c219-db2aa4168100" href="https://sites.google.com/view/2025-workshop-explainable-ai/">https://sites.google.com/view/2025-workshop-explainable-ai/</a></u></div>
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<span style="color: rgb(0, 0, 0);">We welcome submissions to the 1st International Joint Workshop on Explainable AI in Finance, combining the
<i>5th XAI-FIN workshop</i> with <i>Decoding the Black Box: Explainable AI for Trustworthy Financial Decision-Making</i> and to be held on 15th November 2025 in Singapore. The workshop, organised by teams spread across London and Singapore, is co-located with
the 6th ACM International Conference on AI in Finance (ICAIF, </span><span style="color: blue;"><u><a style="color: blue; margin: 0px;" data-auth="NotApplicable" data-linkindex="1" title="https://icaif25.org/" class="x_OWAAutoLink" id="OWAef476642-b405-3e38-1271-81d061e2c2d2" href="https://icaif25.org/">https://icaif25.org/</a></u></span><span style="color: rgb(0, 0, 0);">),
November 15-18, 2025, Singapore. </span></div>
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<b>Areas of Interest include (but are not limited to)</b></div>
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<div style="margin: 0px;" role="presentation">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.</div>
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<div style="margin: 0px;" role="presentation">Practical deployment of XAI within financial domains: best practices and lessons learned.</div>
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<div style="margin: 0px;" role="presentation">Novel research at the intersection of XAI and other desiderata of trustworthy AI/ML (e.g., fairness, robustness, and privacy).</div>
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<div style="margin: 0px;" role="presentation">Review papers highlighting important challenges and open problems within XAI for Finance.</div>
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<div style="margin: 0px;" role="presentation">User studies of consumer response to XAI techniques and AI model outputs.</div>
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<div style="margin: 0px;" role="presentation">Novel datasets for use within the XAI in Finance community.</div>
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<div style="margin: 0px;" role="presentation">Discussion on industry areas that are less automated and how best to leverage XAI.</div>
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<div style="margin: 0px;" role="presentation">Quantitative approaches to financial regulation description and enforcement.</div>
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<div style="margin: 0px;" role="presentation">Domain-specific requirements and challenges including real-time processing, regulatory compliance, and risk tolerance, temporal and dynamic explanations and integration with legacy systems.</div>
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<b>Important Dates (subject to Early-Bird registration deadline confirmation)</b></div>
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<div style="margin: 0px;" role="presentation">Submission deadline: 1st October 2025</div>
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<div style="margin: 0px;" role="presentation">Author notification: 15th October 2025</div>
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<div style="margin: 0px;" role="presentation">Workshop: 15th November 2025</div>
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<b>Submission Guidelines</b></div>
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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. </div>
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<span style="color: rgb(0, 0, 0);">Papers must be formatted according to ACM’s sigconf layout (see
</span><span style="color: blue;"><u><a style="color: blue; margin: 0px;" data-auth="NotApplicable" data-linkindex="2" title="https://www.acm.org/publications/proceedings-template" class="x_OWAAutoLink" id="OWAb79cce75-d6be-2a25-64c3-a8a7b1461ea5" href="https://www.acm.org/publications/proceedings-template">here</a></u></span><span style="color: rgb(0, 0, 0);"> for
formatting instructions). Papers must be submitted in pdf format on </span><span style="color: blue;"><u><a style="color: blue; margin: 0px;" data-auth="NotApplicable" data-linkindex="3" title="https://easychair.org/conferences/?conf=xaifin2025" class="x_OWAAutoLink" id="OWAe2f61457-b675-f43b-a9cd-e9f0d96e1d32" href="https://easychair.org/conferences/?conf=xaifin2025">EasyChair</a></u></span><span style="color: rgb(0, 0, 0);"> and
do not need to be anonymous.</span></div>
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Each paper will get at least two reviews. </div>
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The workshop will be non-archival in format, but we are intending to share the accepted papers on the workshop web page.</div>
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<b>Organisation</b></div>
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The workshop is co-located with the 6th ACM International Conference on AI in Finance (ICAIF) in Singapore.</div>
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Workshop Co-chairs</div>
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<div style="margin: 0px;" role="presentation">Fabrizio Russo, PhD, Research Associate at the Department of Computing, Imperial College London</div>
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<div style="margin: 0px;" role="presentation">Ranjan Satapathy, PhD, Senior Scientist at A*STAR IHPC</div>
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<div style="margin: 0px;" role="presentation">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</div>
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<div style="margin: 0px;" role="presentation">Song Yuting, PhD, Senior Scientist at A*STAR IHPC</div>
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Assistant chair & Web Master</div>
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<div style="margin: 0px;" role="presentation">Junqi Jiang, PhD Candidate, Imperial College London</div>
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Organizing Committee:</div>
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<div style="margin: 0px;" role="presentation">Fei Gao, PhD, Portfolio Lead and Principal Scientist at A*STAR IHPC</div>
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<div style="margin: 0px;" role="presentation">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.</div>
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<div style="margin: 0px;" role="presentation">Andreas Joseph, PhD, Research Advisor, Advanced Analytics Division, Bank of England</div>
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<div style="margin: 0px;" role="presentation">Gianmarco Mengaldo, PhD, Assistant Professor in the Department of Mechanical Engineering and Department of Mathematics (courtesy) at National University of Singapore</div>
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<div style="margin: 0px;" role="presentation">Mark Somers, PhD, Executive Director at Fifty-One Degrees</div>
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