Building trust in AI
decisions
The TRUST Framework is an operational backbone turning Responsible AI into a measurable, actionable reality. By focusing on Transparency, Robustness, Unbiased outcomes, Security, and Testing, the TRUST Framework provides a rigorous standard for evaluating and building AI systems that inspire confidence and ensure long-term sustainability, offering a clear pathway to implement and validate Responsible AI across all parts of the ecosystem.
Recent Publications
Rethinking XAI Evaluation: A Human-Centered Audit of Shapley Benchmarks in High-Stakes Settings
Published at NeurIPS 2026 Evaluations and Datasets Track
Rethinking XAI Evaluation: A Human-Centered Audit of Shapley Benchmarks in High-Stakes Settings
Published at NeurIPS 2026 Evaluations and Datasets Track
Latest News
Data Visualization team publishes blogpost on benchmarking AI Models for scatterplot-related tasks
Pedro Bizarro presents keynote at the Center for Responsible AI Forum 2025
João Palmeiro presents at VIS2025’s 1st Workshop on GenAI, Agents, and the Future of VIS
Ricardo Ribeiro gives a presentation about Transfer Learning at the DSPT meetup in Lisbon.
Ricardo Ribeiro presents our evaluation framework for transfer learning on ECML 2025.
Our AI team presents at the ECML PhD Forum.
Data Visualization team publishes blogpost on benchmarking AI Models for scatterplot-related tasks
Pedro Bizarro presents keynote at the Center for Responsible AI Forum 2025
João Palmeiro presents at VIS2025’s 1st Workshop on GenAI, Agents, and the Future of VIS
Ricardo Ribeiro gives a presentation about Transfer Learning at the DSPT meetup in Lisbon.
Ricardo Ribeiro presents our evaluation framework for transfer learning on ECML 2025.
Recent Blog Posts
From a Trace to Money Flow: How we built an interactive visualization to uncover money laundering
Money laundering works by staying invisible. Feedzai's Money Flow visualization turns scattered transaction traces into a readable map of who moved money, where, and when.
Salomé Esteves
Uncovering the Shape of Fraud with Cosmos Explorer: Visual Metaphors Behind Millions of Transactions
The Data Visualization Research team is developing Cosmos Explorer, an interface that leverages universe-related visual metaphors to convey information about the billions of transactions processed by Feedzai. Pedro Cruz, professor at Northeastern University, partnered with Feedzai to bring this idea to life by contributing with his creativity and expertise to solve this challenging visualization problem.
João Bernardo Narciso
Benchmark It Yourself (BIY): Preparing a Dataset and Benchmarking AI Models for Scatterplot-Related Tasks
When we need to visualize and interact with millions, or even just thousands, of individual points while analyzing data, we typically resort to rendering them in the browser using a canvas.
João Palmeiro
From a Trace to Money Flow: How we built an interactive visualization to uncover money laundering
Money laundering works by staying invisible. Feedzai's Money Flow visualization turns scattered transaction traces into a readable map of who moved money, where, and when.
Salomé Esteves
Uncovering the Shape of Fraud with Cosmos Explorer: Visual Metaphors Behind Millions of Transactions
The Data Visualization Research team is developing Cosmos Explorer, an interface that leverages universe-related visual metaphors to convey information about the billions of transactions processed by Feedzai. Pedro Cruz, professor at Northeastern University, partnered with Feedzai to bring this idea to life by contributing with his creativity and expertise to solve this challenging visualization problem.
João Bernardo Narciso
Benchmark It Yourself (BIY): Preparing a Dataset and Benchmarking AI Models for Scatterplot-Related Tasks
When we need to visualize and interact with millions, or even just thousands, of individual points while analyzing data, we typically resort to rendering them in the browser using a canvas.
João Palmeiro
Research Areas
AI Research
The AI group has a mission of building the next-gen RiskOps AI to safeguard businesses and people from fraud and financial crime that is responsible and explainable by design.
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Data Visualization
The Data Visualization group aims to better elucidate complex data for Fraud Analysts & Data Scientists with insightful beautiful data experiences.
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Systems Research
The Systems Research group aims to enhance performance & reliability of the RiskOps Platform through innovation in a number of key areas.
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AI Research
The AI group has a mission of building the next-gen RiskOps AI to safeguard businesses and people from fraud and financial crime that is responsible and explainable by design.
Learn More
Data Visualization
The Data Visualization group aims to better elucidate complex data for Fraud Analysts & Data Scientists with insightful beautiful data experiences.
Learn More
Systems Research
The Systems Research group aims to enhance performance & reliability of the RiskOps Platform through innovation in a number of key areas.
Learn More
Page printed in 5 Nov 2026. Plase see https://research.feedzai.com for the latest version.