19 citations · 19 across the 4 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…
LLM-FACETS: A Privacy-Preserving Framework for Evaluating LLM Transparency and Accountability
Tom Lucas, Alessio Buscemi, Alfredo Capozucca +2
Assessing whether Large Language Models outputs are factually grounded, epistemically calibrated, and methodologically reproducible is a prerequisite for responsible AI deployment.…
Evaluating Open-Source Large Language Models for Technical Telecom Question Answering
Arina Caraus, Alessio Buscemi, Sumit Kumar +1
Large Language Models (LLMs) have shown remarkable capabilities across various fields. However, their performance in technical domains such as telecommunications remains underexplo…
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,…
A Comparative Study of Code Generation using ChatGPT 3.5 across 10 Programming Languages
Alessio Buscemi
Large Language Models (LLMs) are advanced Artificial Intelligence (AI) systems that have undergone extensive training using large datasets in order to understand and produce langua…