Achieving Explainable AI Through Semantic Technologies: Challenges and Future Directions in Digital Health

This conference is part of the AI4Health Lecture Series organised by the Department of Computer Science and the Department of Life Sciences and Medicine of the University of Luxembourg. The talk takes place online via this link on Webex

Abstract

The interest in Explainable Artificial Intelligence (XAI) research area has dramatically grown during the last few years. The main reason is the need of having systems that beyond being effective are also able to describe how a certain outcome has been reached and to present it in a comprehensive manner with respect to the target users. The Digital Health domain is a pioneering scenario where XAI strategies have been designed and implemented. In this talk, I would go through the milestones of this paradigm and I will discuss the role of semantic technologies. Then, I will present how such strategies have been applied to the Digital Health domain, and which are the challenges that have to be tackled in the near future.

Speaker

Mauro Dragoni is a research scientist at Fondazione Bruno Kessler within the Process and Data Intelligence (PDI) Research Unit. He received his Ph.D. in Computer Science from the University of Milan in 2010. His main research topics concern knowledge management, information retrieval, and machine learning with a focus on the design and development of real-world prototypes for enabling the access of both industries and people to research. Since 2015, he has been involved in activities dedicated to bring AI solutions within the Digital Health area. He has been involved in a number of national and international research projects and he co-authored more than 100 scientific publications in international journals, conferences, and workshops. Beyond AI, he is a motorsport (real and simulated) passionate and a certified personal trainer from the Italian National Olympic Committee.