1. Explainable AI: If You Can’t Evaluate It, Can You Trust It? (medium.com) Feedzai Oct 8, 2026 read 🤖 Summary
2. From a Trace to Money Flow: How we built an interactive visualization to uncover money laundering (medium.com) Feedzai Oct 6, 2026 read 🤖 Summary
3. Uncovering the Shape of Fraud with Cosmos Explorer: Visual Metaphors Behind Millions of… (medium.com) Feedzai Apr 7, 2026 read 🤖 Summary
4. BIY: Preparing a Dataset and Benchmarking AI Models for Scatterplot-Related Tasks (medium.com) Feedzai Jan 19, 2026 read 🤖 Summary
5. Benchmarking LLMs in Real-World Applications: Pitfalls and Surprises (medium.com) Feedzai Nov 25, 2025 read 🤖 Summary
7. Feedzai TrustScore: Enabling Network Intelligence to Fight Financial Crime (medium.com) Feedzai Jul 25, 2025 read 🤖 Summary
8. Here and Now: Reusing Code at Feedzai with JupyterLab Snippets (medium.com) Feedzai Mar 17, 2025 read 🤖 Summary
9. “Show Me What’s Wrong!”: Enhancing Fraud Detection Analysis by Combining Charts and Text (medium.com) Feedzai Nov 22, 2024 read 🤖 Summary
10. The GANfather: Using Malicious GenAI Agents to Combat Money Laundering (medium.com) Feedzai Oct 4, 2024 read 🤖 Summary
11. Aequitas Flow step-by-step: a Fair ML optimization framework (medium.com) Feedzai Aug 12, 2024 read 🤖 Summary
12. Building Trust in a Digital World: The Role of Machine Learning in Behavioral Biometrics (medium.com) Feedzai Jun 21, 2024 read 🤖 Summary
13. Explainability for Fraud: One Size Does Not Fit Fraudsters (medium.com) Feedzai Jan 24, 2024 read 🤖 Summary