Pre Hoc and Co Hoc Explainability: Frameworks for Integrating Interpretability into Machine Learning Training for Enhanced Transparency and Performance by Cagla Acun, Olfa Nasraoui

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An Efficient Explainability of Deep Models on Medical Images by Salim Khiat, Sidi Ahmed Mahmoudi, Sédrick Stassin, Lillia Boukerroui, Besma Senaï, Saïd Mahmoudi

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Modeling and Discovering Direct Causes for Predictive Models by Yizuo Chen, Amit Bhatia

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Explainability-driven adversarial robustness assessment for generalized deepfake detectors by Lorenzo Cirillo, Andrea Gervasio, Irene Amerini

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Explainable Siamese Neural Networks for Detection of High Fall Risk Older Adults in the Community Based on Gait Analysis by Christos Kokkotis, Kyriakos Apostolidis, Dimitrios Menychtas, Ioannis Kansizoglou, Evangeli Karampina, Maria Karageorgopoulou, Athanasios Gkrekidis, Serafeim Moustakidis, Evangelos Karakasis, Erasmia Giannakou, Maria Michalopoulou, Georgios Ch Sirakoulis, Nikolaos Aggelousis

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Examining the responsible use of zero-shot AI approaches to scoring essays by Matthew Johnson, Mo Zhang

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From understanding to justifying: Computational reliabilism for AI-based forensic evidence evaluation by Juan M. Durán, David van der Vloed, Arnout Ruifrok, Rolf J.F. Ypma

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Transparent Task Delegation in Multi-Agent Systems Using the QuAD-V Framework by Jeferson José Baqueta, Mariela Morveli-Espinoza, Cesar Augusto Tacla

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A note on certain implications of clinical artificial intelligences for the field of medico-legal semiotics by CAROLE SENECHAL, Nicholas Léger-Riopel

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DoS and DDoS Attack Detection in IoT Infrastructure using Xception Model with Explainability by Nelly Elsayed, Zag ElSayed, Ahmed Abdelgawad

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An Explainable Deep Learning Network With Transformer and Custom CNN for Bean Leaf Disease Classification by R. Karthik, R. Aswin, K. S. Geetha, K. Suganthi

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Explainable machine learning for predicting ICU mortality in myocardial infarction patients using pseudo-dynamic data by Munib Mesinovic, Peter Watkinson, Tingting Zhu

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A novel approach to overcome black box of AI for optical diagnosis in colonoscopy by Youmin Shin, Jung Ho Bae, Jung Kim, Jinwook Choi, Young-Gon Kim

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Analyzing Racial Differences in Imaging Joint Replacement Registries Using Generative Artificial Intelligence: Advancing Orthopaedic Data Equity by Bardia Khosravi, MD, MPH, MHPE, Pouria Rouzrokh, MD, MPH, MHPE, Bradley J. Erickson, MD, PhD, Hillary W. Garner, MD, Doris E. Wenger, MD, Michael J. Taunton, MD, Cody C. Wyles, MD

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Using Segmentation to Boost Classification Performance and Explainability in CapsNets by Dominik Vranay, Maroš Hliboký, László Kovács, Peter Sinčák

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A Review of Explainable AI for Android Malware Detection and Analysis by Maryam Tanha, Somayeh Kafaie

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ExShall-CNN: An Explainable Shallow Convolutional Neural Network for Medical Image Segmentation by Vahid Khalkhali, Sayed Mehedi Azim, Iman Dehzangi

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Interpretarea, instrument de atenuare a bias-ului algoritmic în contractele electronice/ Interpretation, a Tool for Mitigating Algorithmic Bias in Electronic Contracts by Sebastian ANTOCE

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How is ʻUnexplainable’ and Non-transparent AI Affecting Healthcare Delivery? by Vera Lúcia Raposo

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CrysMTM: a multiphase, temperature-resolved, multimodal dataset for crystalline materials by Can Polat, Erchin Serpedin, Mustafa Kurban, Hasan Kurban

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