1 citations · 1 across the 5 of their papers we have counts for
6 papers
The AI Assessment Sandbox Configurator: A Framework to Support Technical Assessment in AI Regulatory Sandboxes
Alessio Buscemi, German Castignani, Daniele Pagani +2
The EU's Artificial Intelligence Act requires all Member States to establish AI Regulatory Sandboxes (AIRS) by August 2027: supervised environments bringing together national Compe…
Operationalising AI Regulatory Sandboxes: Activities, Requirements, and Technical Assessment under the EU AI Act
Alessio Buscemi, Thibault Simonetto, Daniele Pagani +3
The systematic assessment of AI systems is increasingly vital as these technologies enter high-stakes domains. To address this, the EU's Artificial Intelligence Act introduces AI R…
Mind the Language Gap: Automated and Augmented Evaluation of Bias in LLMs for High- and Low-Resource Languages
Alessio Buscemi, Cédric Lothritz, Sergio Morales +4
Large Language Models (LLMs) have exhibited impressive natural language processing capabilities but often perpetuate social biases inherent in their training data. To address this,…
The Software Diversity Card: A Framework for Reporting Diversity in Software Projects
Joan Giner-Miguelez, Sergio Morales, Sergio Cobos +3
Context: Interest in diversity in software development has significantly increased in recent years. Reporting on diversity in software projects can enhance user trust and assist re…
LangBiTe: A Platform for Testing Bias in Large Language Models
Sergio Morales, Robert Clarisó, Jordi Cabot
The integration of Large Language Models (LLMs) into various software applications raises concerns about their potential biases. Typically, those models are trained on a vast amoun…
A Framework to Model ML Engineering Processes
Sergio Morales, Robert Clarisó, Jordi Cabot
The development of Machine Learning (ML) based systems is complex and requires multidisciplinary teams with diverse skill sets. This may lead to communication issues or misapplicat…