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XAI-FIN-2024: 4th Workshop on Explainable AI in Finance</div>
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New York University’s Tandon School of Engineering, at the Brooklyn NY campus</div>
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Brooklyn, New York, NY, United States, November 15, 2024</div>
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<td><span style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">Conference website</span></td>
<td><span style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);"><a href="https://sites.google.com/view/2024-workshop-explainable-ai" target="_blank" id="OWA3714ed49-5153-c04c-c62d-769acda8d553" class="OWAAutoLink">https://sites.google.com/view/2024-workshop-explainable-ai</a></span></td>
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<td><span style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">Submission link</span></td>
<td><span style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);"><a href="https://easychair.org/conferences/?conf=xaifin2024" target="_blank" id="OWAe46d6510-5e58-9e4f-88cb-8cd800b4fcb7" class="OWAAutoLink">https://easychair.org/conferences/?conf=xaifin2024</a></span></td>
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<td><span style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">Abstract registration deadline</span></td>
<td><span style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">October 2, 2024</span></td>
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<td><span style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">Submission deadline</span></td>
<td><span style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">October 2, 2024</span></td>
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Topics: <a href="https://easychair.org/cfp/topic.cgi?tid=642577&a=33387003" id="OWAed342a27-933f-af2e-74b4-748674f2fc93" class="OWAAutoLink">
explainable ai</a> <a href="https://easychair.org/cfp/topic.cgi?tid=670&a=33387003" id="OWA6d5c5868-8282-de5a-d859-7e1e9d7fa07f" class="OWAAutoLink">
artificial intelligence</a> <a href="https://easychair.org/cfp/topic.cgi?a=33387003&tid=27085" id="OWA638492fa-e945-f772-561b-3bdafc183c7a" class="OWAAutoLink">
finance</a> <a href="https://easychair.org/cfp/topic.cgi?a=33387003&tid=18653024" id="OWAd477f2fc-0a13-dc07-e5c8-193f7257b06b" class="OWAAutoLink">
trustworthy ai</a></div>
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We welcome submissions to the 4th International Workshop on Explainable AI in Finance to be held on 15th November, 2024. The workshop is co-located with the 5th ACM International Conference on AI in Finance (ICAIF,
<u><a href="https://ai-finance.org/" target="_blank" id="OWA5ab87a47-d0a7-68c1-bf24-62ce13a6b0f9" class="OWAAutoLink">https://ai-finance.org/</a></u>), November 14th-17th, 2024, New York City. </div>
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<b>Areas of Interest include </b>(but are not limited to) </div>
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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. </li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
Practical deployment of XAI within financial domains: best practices and lessons learned. </li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
Novel research at the intersection of XAI and other desiderata of trustworthy AI/ML (e.g., fairness, robustness, and privacy). </li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
Review papers highlighting important challenges and open problems within XAI for Finance. </li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
User studies of consumer response to XAI techniques and AI model outputs. </li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
Novel datasets for use within the XAI in Finance community. </li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
Discussion on industry areas that are less automated and how best to leverage XAI moving forward. </li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
Quantitative approaches to financial regulation description and enforcement. </li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
Explainability Challenges posed by Large Language Models/Foundation Models. </li></ol>
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<b>Important Dates</b></div>
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<div style="margin-top: 1em; margin-bottom: 1em;">Submission deadline: 2nd October 2024 (AoE)</div>
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<div style="margin-top: 1em; margin-bottom: 1em;">Author notification: 14th October 2024</div>
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<div style="margin-top: 1em; margin-bottom: 1em;">Workshop: 15th November 2024 </div>
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<b>Submission Guidelines </b></div>
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We invite submissions on <u><a href="https://easychair.org/conferences/?conf=xaifin2024" target="_blank" id="OWA51711a69-af62-6275-9499-5ec673563411" class="OWAAutoLink" title="https://easychair.org/conferences/?conf=xaifin2024">EasyChair</a></u> 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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Papers must be formatted according to ACM’s sigconf layout (see <u><a href="https://ai-finance.org/submission-instructions-2/" target="_blank" id="OWA9a10b55b-44c8-a5f8-3c36-7160f7f6a16f" class="OWAAutoLink">here</a></u> for instructions). Papers must be submitted
in pdf format on <u><a href="https://easychair.org/conferences/?conf=xaifin2024" target="_blank" id="OWAa9a9cea4-8caa-48bb-49df-ecb2d227b82e" class="OWAAutoLink" title="https://easychair.org/conferences/?conf=xaifin2024">EasyChair</a></u> and do not need to
be anonymous. </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 5th ACM International Conference on AI in Finance (ICAIF) in New York City. </div>
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<b>Workshop Co-chairs </b></div>
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Sanghamitra Dutta, PhD, Assistant Professor in Electrical and Computer Engineering at University of Maryland College Park USA </li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
Andreas Joseph, PhD, Senior Research Economist, Advanced Analytics Division, Bank of England, and Research Fellow at the Data Analytics for Finance and Macro (DAFM) Research Centre at King’s College London </li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
Saumitra Mishra, PhD, Executive Director at J.P. Morgan and Research Director of XAI Center of Excellence at J.P. Morgan.</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
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 </li></ul>
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<b>Assistant chairs </b></div>
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Fabrizio Russo, PhD Candidate, Imperial College London</li><li style="font-family: Aptos, Aptos_EmbeddedFont, Aptos_MSFontService, Calibri, Helvetica, sans-serif; font-size: 12pt; color: rgb(0, 0, 0);">
Shubam Sharma, PhD, Senior Research Scientist, JPMorgan Chase</li></ul>
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<div style="font-family: Tahoma; font-size: 13px;">====<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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