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About

Carlos Garre is a leading researcher at the intersection of artificial intelligence, educational robotics, and human-centered computing. His work is distinguished by a dual focus: advancing the theoretical foundations of Explainable AI (XAI) and applying AI-driven technologies to social and therapeutic contexts. Garre’s most impactful contribution, the 2023 paper *"Computational approaches to Explainable Artificial Intelligence,"* has garnered 191 citations, establishing him as a key voice in making deep learning systems more transparent and interpretable. This work addresses a critical challenge in modern AI—bridging the gap between complex neural networks and human understanding. Beyond theoretical AI, Garre pioneers the use of robotics and storytelling for social good. His 2021 study on using robots for digital storytelling to teach human rights to primary school students (13 citations) demonstrates how gamification can foster ethical education. More recently, his 2023 methodology for integrating educational robotics and storytelling into therapeutic activities for children with neurodevelopmental disorders (8 citations) offers a practical, accessible framework for therapists. By combining cutting-edge AI with compassionate, applied research, Garre exemplifies how technology can be both powerful and inclusive, shaping a future where intelligent systems are not only explainable but also deeply human-centered.