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🚨 Call for Workshop Papers - HI-AI at #KDD2024 🚨 🔍 Dive into the Workshop on Human-Interpretable AI! 🧠 Submit your work and join the efforts in constructing explanations aligned with human-understandable concepts! 📆 June 14 #XAI Gabriele Ciravegna human-interpretable-ai.github.io

Kudos to Eliana Pastor, Flavio Giobergia, and Gabriele Ciravegna for the amazing collaboration! More details soon! 🔥 INTERSPEECH 2025

🌟For our XAI Seminar, Riccardo Crupi (Intesa Sanpaolo) presented their road to Trustworthy AI! He overviewed his works on counterfactual explanations and the #FAccT Bias On Demand toolkit to generate synthetic biased data! Thank you, Riccardo! Slides: shorturl.at/0ynpV

1/3🧵Exciting news! We are organizing the 1st Workshop on AI for Financial Crime Fight at ICDM 2024 🌟 We'll discuss how AI is used to detect crimes such as frauds, money laundering & terrorism fianncing! 🗓️Submission deadline: Sep 10, 2024 🌐 Website: sites.google.com/view/ai4fcf/

🌴 Just wrapped up an amazing time at #IJCAI2024 in beautiful Jeju! 🇰🇷 Huge thanks to all the incredible new friends I met there, it was a pleasure to live this experience with you!

The DBDMG squad is at #KDD2024 in Barcelona! 🇪🇸 Reach us to discuss #XAI, speech, data science, LLMs & more! ☀️ Eliana Pastor Flavio Giobergia Alkis Koudounas Simone Monaco Gabriele Ciravegna Matteo Berta Elena Baralis Davide Napolitano + Moreno La Quatra special guest ✨

Wrapping up an amazing week at #KDD2024, now heading to Kos 🇬🇷 for #Interspeech2024 🌟I’ll be presenting two oral papers: one about SLU and contrastive learning for bias mitigation🔬(Monday afternoon), the other on detecting and classifying voice pathologies⚕️(Wednesday morning)

Relational and interpretable deep learning? CBMs aren't built for relational problems, and GNNs aren't interpretable... We propose Relational Concept Bottleneck Models: concept-based interpretability + GNN accuracy! 🚀 #NeurIPS2024 👉neurips.cc/virtual/2024/p…

Interesting paper at #Neurips24! We developed a neural model (CMR) that is 100% interpretable. Thanks to rulebook, we can even inspect all the reasons for which it may take a given prediction. And if you don't like them you can drop/modify them thorugh rule interventions!

💡The #PyC team!👥 Gabriele Ciravegna David Debot @michelangelodiligenti Gabriele Dominici Mateo Espinosa Zarlenga gianninifrancesco Giuseppe Marra Alberto

🚨CFP: Workshop on AI for Financial Crime Fight @ #ICDM2026 Topics: - Anomaly Detection - XAI in Finance - Privacy-Preserving Analytics - Deployment Case Studies 🗓️ Deadline: Aug 29, 2025 📥 Submit: wi-lab.com/cyberchair/202… #AI #ML #XAI #FinancialCrime #ICDM2026