34 citations · 77 across the 4 of their papers we have counts for
4 papers
A Survey on Methods and Metrics for the Assessment of Explainability under the Proposed AI Act
Francesco Sovrano, Salvatore Sapienza, Monica Palmirani +1
This study discusses the interplay between metrics used to measure the explainability of the AI systems and the proposed EU Artificial Intelligence Act. A standardisation process i…
Making Things Explainable vs Explaining: Requirements and Challenges under the GDPR
Francesco Sovrano, Fabio Vitali, Monica Palmirani
The European Union (EU) through the High-Level Expert Group on Artificial Intelligence (AI-HLEG) and the General Data Protection Regulation (GDPR) has recently posed an interesting…
Modelling GDPR-Compliant Explanations for Trustworthy AI
Francesco Sovrano, Fabio Vitali, Monica Palmirani
Through the General Data Protection Regulation (GDPR), the European Union has set out its vision for Automated Decision- Making (ADM) and AI, which must be reliable and human-centr…
Deep Learning Based Multi-Label Text Classification of UNGA Resolutions
Francesco Sovrano, Monica Palmirani, Fabio Vitali
The main goal of this research is to produce a useful software for United Nations (UN), that could help to speed up the process of qualifying the UN documents following the Sustain…