3 citations · 4 across the 6 of their papers we have counts for
3 papers · 1 filter
ReasonX: Declarative Reasoning on Explanations
Laura State, Salvatore Ruggieri, Franco Turini
Explaining opaque Machine Learning (ML) models has become an increasingly important challenge. However, current eXplanation in AI (XAI) methods suffer several shortcomings, includi…
The explanation dialogues: an expert focus study to understand requirements towards explanations within the GDPR
Laura State, Alejandra Bringas Colmenarejo, Andrea Beretta +3
Explainable AI (XAI) provides methods to understand non-interpretable machine learning models. However, we have little knowledge about what legal experts expect from these explanat…
Explainability in Practice: Estimating Electrification Rates from Mobile Phone Data in Senegal
Laura State, Hadrien Salat, Stefania Rubrichi +1
Explainable artificial intelligence (XAI) provides explanations for not interpretable machine learning (ML) models. While many technical approaches exist, there is a lack of valida…