AUTHORS> Sébastien Meeùs; Valentina Dalla Giovanna; Samyar Janatian; Hannes Westermann; Karim Benyekhlef; Grégory Lewkowicz
2024 · JURIX 2024; Frontiers in Artificial Intelligence and Applications 395, 384–386 · P. 384–386
Abstract
The increasing prevalence of technology in healthcare is leading to a corresponding rise in the complexity of the challenges facing hospitals. One such challenge is the difficulty of ensuring legal compliance for projects based on artificial intelligence and data processing. JusticeBot Laso is a tool designed to provide a comprehensive mapping of legal risks and a rating system to assist decision-makers in selecting AI projects. Our evaluation shows the tool improves risk identification accuracy from 20% to over 85%, and enhances risk scoring accuracy from 48% to 92%, compared to manual assessments.
AUTHOR KEYWORDS> JusticeBot, legal modeling, risk assessment, innovation, artificial intelligence, GDPR, AI Act, decision trees, healthcare
Full text checked · 2026-10-06