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.

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Recent Publications

Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs

Ahmad Naser Eddin, Jacopo Bono, David Oliveira Aparicio, Hugo Ferreira, Pedro Manuel Pinto Ribeiro, Pedro Bizarro

Published at TMLR - Transactions on Machine Learning Research

arXiv | PDF | YouTube

Aequitas Flow: Streamlining Fair ML Experimentation

Sérgio Jesus, Pedro Saleiro, Inês Oliveira e Silva, Beatriz M. Jorge, Rita P. Ribeiro, João Gama, Pedro Bizarro, Rayid Ghani

Published at Journal of Machine Learning Research

arXiv | PDF

Fair-OBNC: Correcting Label Noise for Fairer Datasets

Inês Oliveira e Silva, Sérgio Jesus, Hugo Ferreira, Pedro Saleiro, Inês Sousa, Pedro Bizarro, Carlos Soares

Published at ECAI 2024

arXiv | YouTube

RIFF: Inducing Rules for Fraud Detection from Decision Trees

João Lucas Martins, João Bravo, Ana Sofia Gomes, Carlos Soares, Pedro Bizarro

Published at RuleML+RR 2024

arXiv | YouTube

Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs

Ahmad Naser Eddin, Jacopo Bono, David Oliveira Aparicio, Hugo Ferreira, Pedro Manuel Pinto Ribeiro, Pedro Bizarro

Published at TMLR - Transactions on Machine Learning Research

arXiv | PDF | YouTube

Aequitas Flow: Streamlining Fair ML Experimentation

Sérgio Jesus, Pedro Saleiro, Inês Oliveira e Silva, Beatriz M. Jorge, Rita P. Ribeiro, João Gama, Pedro Bizarro, Rayid Ghani

Published at Journal of Machine Learning Research

arXiv | PDF

Fair-OBNC: Correcting Label Noise for Fairer Datasets

Inês Oliveira e Silva, Sérgio Jesus, Hugo Ferreira, Pedro Saleiro, Inês Sousa, Pedro Bizarro, Carlos Soares

Published at ECAI 2024

arXiv | YouTube

RIFF: Inducing Rules for Fraud Detection from Decision Trees

João Lucas Martins, João Bravo, Ana Sofia Gomes, Carlos Soares, Pedro Bizarro

Published at RuleML+RR 2024

arXiv | YouTube

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