<div dir="ltr"><div><span id="gmail-docs-internal-guid-002b23cf-7fff-8d98-234a-11ea90b92415"><p style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Sorry about the multiple messages</span></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:13pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"><br></span></p><p dir="ltr" style="line-height:1.38;text-align:justify;margin-top:0pt;margin-bottom:0pt"><span style="font-size:13pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">*** First Call for Papers ***</span></p><p dir="ltr" style="line-height:1.656;text-align:justify;margin-top:0pt;margin-bottom:0pt;padding:12pt 0pt"><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">We invite paper submissions to the </span><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Explainable Deep Neural Networks for Responsible AI: Post-Hoc and Self-Explaining Approaches (DeepXplain 2025)</span><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(0,0,0);background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">, a special session at IJCNN 2025 dedicated to innovative methodologies for improving the interpretability of Deep Neural Networks (DNNs), </span><span style="font-size:11pt;font-family:Arial,sans-serif;color:rgb(0,0,0);font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">while addressing fairness and bias mitigation. </span></p><p dir="ltr" style="line-height:1.656;text-align:justify;margin-top:0pt;margin-bottom:0pt;padding:0pt 0pt 12pt"><span style="font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Website</span><span style="font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">:</span><span style="font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> </span><a href="https://deepxplain.github.io/" style="text-decoration-line:none"><span style="font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;text-decoration-line:underline;vertical-align:baseline">https://deepxplain.github.io/</span></a></p><p dir="ltr" style="line-height:1.656;margin-top:0pt;margin-bottom:10pt"><span style="font-size:16pt;font-family:Arial,sans-serif;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Important Dates:</span></p><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre;margin-left:11pt"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Submission link:</span><span style="font-size:11pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> </span><a href="https://cmt3.research.microsoft.com/IJCNN2025/" style="text-decoration-line:none"><span style="font-size:11pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;text-decoration-line:underline;vertical-align:baseline">https://cmt3.research.microsoft.com/IJCNN2025/</span></a></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre;margin-left:11pt"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Submission deadline:</span><span style="font-size:11pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> January 15, 2025</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre;margin-left:11pt"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Notification date:</span><span style="font-size:11pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> March 15, 2025</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre;margin-left:11pt"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Camera-ready submission:</span><span style="font-size:11pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> May 1, 2025</span></p></li></ul><p dir="ltr" style="line-height:1.38;margin-top:10pt;margin-bottom:10pt"><span style="font-size:16pt;font-family:Arial,sans-serif;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Contributions</span></p><p dir="ltr" style="line-height:1.656;text-align:justify;margin-top:0pt;margin-bottom:0pt;padding:6pt 0pt 10pt"><span style="font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">This special session aims to foster interdisciplinary collaboration, promote the ethical design of AI systems, and encourage the development of benchmarks and datasets for explainability research. Our goal is to advance both post-hoc and intrinsic interpretability approaches, bridging the gap between the high performance of deep neural networks and their transparency. By doing so, we seek to enhance human trust in these models and mitigate the risks of negative social impacts.</span></p><p dir="ltr" style="line-height:1.656;text-align:justify;margin-top:0pt;margin-bottom:10pt"><span style="font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Topics of interest include, but are not limited to:</span></p><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre;margin-left:11pt"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Theoretical advancements in post-hoc explanation methods (e.g., LIME, SHAP, Grad-CAM) for DNNs.</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre;margin-left:11pt"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Development of inherently interpretable architectures using self-explaining mechanisms, such as attention-based or saliency-based models, prototype networks, and SENNs (Self-Explaining Neural Networks).</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre;margin-left:11pt"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Post-hoc and self-explaining methods for Large Language Models (LLMs).</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre;margin-left:11pt"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Application-driven explainability insights, particularly in Natural Language Processing and Computer Vision.</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre;margin-left:11pt"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Ethical evaluations of DNN-based AI models with a focus on reducing bias and social impact.</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre;margin-left:11pt"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Methods, metrics, and methodologies for improving interpretability and fairness in DNNs.</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre;margin-left:11pt"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Ethical discussions about the social impact of non-transparent AI models.</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre;margin-left:11pt"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Datasets and benchmarking tools for explainability.</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre;margin-left:11pt"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt" role="presentation"><span style="font-size:11pt;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Explainable AI in critical applications: healthcare, governance, misinformation, hate speech, etc.</span></p></li></ul><p dir="ltr" style="line-height:1.38;margin-top:10pt;margin-bottom:10pt"><span style="font-size:16pt;font-family:Arial,sans-serif;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Submission Information</span></p><p dir="ltr" style="line-height:1.656;text-align:justify;margin-top:0pt;margin-bottom:0pt;padding:6pt 0pt 10pt"><span style="font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">We welcome submissions of academic papers (both long and short) across the spectrum of theoretical and practical work, including research ideas, methods, tools, simulations, applications or demonstrations, practical evaluations, position papers, and surveys. Submissions must be written in English, adhere to the </span><span style="font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">IJCNN-2025</span><span style="font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> formatting guidelines, and be submitted as a single PDF file.</span></p><p dir="ltr" style="line-height:1.38;margin-left:18pt;margin-top:10pt;margin-bottom:10pt;padding:0pt 0pt 0pt 18pt"><span style="font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">Organizers</span></p><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Verdana,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre;margin-left:11pt"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt" role="presentation"><a href="https://franciellevargas.github.io/" style="text-decoration-line:none"><span style="font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;text-decoration-line:underline;vertical-align:baseline">Francielle Vargas</span></a><span style="font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">,</span><span style="font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> University of São Paulo, Brazil</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Verdana,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre;margin-left:11pt"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt" role="presentation"><a href="https://sites.icmc.usp.br/rafrance/" style="text-decoration-line:none"><span style="font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;text-decoration-line:underline;vertical-align:baseline">Roseli Romero</span></a><span style="font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">,</span><span style="font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> University of São Paulo, Brazil</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Verdana,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline;white-space:pre;margin-left:11pt"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt" role="presentation"><a href="https://www.jacksonptrager.com/" style="text-decoration-line:none"><span style="font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;text-decoration-line:underline;vertical-align:baseline">Jackson Trager</span></a><span style="font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-weight:700;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline">,</span><span style="font-size:11pt;font-family:Arial,sans-serif;background-color:transparent;font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;vertical-align:baseline"> University of Southern California, USA</span></p></li></ul></span></div><div><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr" style="color:rgb(136,136,136);font-size:12.8px"><span style="font-size:small;color:rgb(34,34,34)">-------------------------------------------------------------------------------------------------</span><br></div></div><div dir="ltr"><b style="font-size:small">Profa. Dra. Aline Paes (she/her)</b><div style="font-size:small"><b>Associate professor - Computer Science (Artificial Intelligence)</b><br>Institute of Computing / Universidade Federal Fluminense (IC/UFF)</div><div style="font-size:small">Member of <a href="https://sites.google.com/view/ce-pln/inicio" target="_blank">CE-PLN</a> and <a href="https://brasileiraspln.com/" target="_blank">BPLN</a></div><div style="font-size:small">CNPq PQ-E and FAPERJ JCNE </div><div style="font-size:small">__________________________________________________________<br>url: <a href="http://www.ic.uff.br/~alinepaes" style="color:rgb(17,85,204)" target="_blank">www.ic.uff.br/~alinepaes</a></div><div style="font-size:small">Av Gal Milton Tavares de Souza, S/N, Computing Building, Office 504<br></div><div style="font-size:small">São Domingos, Niterói, RJ, Brazil. ZIP 24210-346</div><div style="font-size:small">-------------------------------------------------------------------------------------------------</div><div><font face="times new roman, serif"><i>**<span style="color:rgb(0,0,0);white-space:pre-wrap">*Please do not feel any pressure to respond out of your own regular working hours. Remember that this is supposed to be an </span><span style="background-color:rgb(248,249,250);white-space:pre-wrap">asynchronous</span><span style="color:rgb(0,0,0);white-space:pre-wrap"> tool**</span></i></font><br></div></div></div></div></div></div></div></div>