About the talk

 

Machine learning and its models have been largely studied to derive efficient solutions for problems ranging from regression, classification to clustering. However, explaining such models and their underlying predictions remains an open problem, mainly due to the model complexity and interpretability. This work presents our journey towards Explainable AI (i.e., how systematically decoding and enriching machine learning systems with knowledge graphs; and applying such learning and reasoning systems to explain abnormal items in the contexts of (1) finance from 80,000,000+ travel expenses lines of 191,346 employees, and (2) contract risks from 600,000+ clients deals in Accenture). Our semantics-aware travel expenses reasoning system has demonstrated scalability and accuracy for the tasks of explaining abnormalities at large scale.

DARPA's view on explaining Explainable AI (XAI) with the help of cats
DARPA’s view on explaining Explainable AI (XAI) with the help of cats

About the speaker

 

Dr Freddy Lecue (PhD 2008, Habilitation 2015) is a principal scientist and research manager in large scale reasoning Systems in Accenture Technology Labs, Dublin – Ireland. He is also a research associate at INRIA, in WIMMICS, Sophia Antipolis – France. His research area is at the frontier of learning and reasoning systems with a strong interest in semantics-driven explainable AI. Before joining Accenture as a principal scientist and research manager in large scale reasoning system in January 2016, he was a research scientist and lead investigator in large scale reasoning systems at IBM Research – Ireland. His research has received IBM internal recognition: IBM research division award in 2015 and IBM Technical Accomplishment award in 2014. His research received external recognition: best paper awards from ISWC (International Semantic Web Conference) in 2014, and ESWC (Extended Semantic Web Conference) in 2014, as well as semantic Web challenge awards from ISWC in 2013 and 2012. Prior to joining IBM Research he was Research Fellow at The University of Manchester from 2008 to 2011 and Research Engineer at Orange Labs (formerly France Telecom R&D) from 2005 to 2008. He received his Research Habilitation (HdR – Accreditation to supervise research) from the University of Nice (France) in 2015, and a PhD from École des Mines de Saint-Etienne (France) in 2008. His PhD thesis was sponsored by Orange Labs and was awarded by the French Association in Artificial Intelligence.