Knowledge-infused Learning: Knowledge Graphs for Explainable AI
About this lesson
About the Speaker: Manas Gaur is a Ph.D. candidate at the Artificial Intelligence Institute and a visiting researcher at Alan Turing Institute, under Turing fellowship. Earlier, he has been data science for social good fellow with the University of Chicago and an AI for social good fellow with Dataminr Inc. Manas's research at the interface of AI and Knowledge Graphs introduces a novel paradigm termed Knowledge-infused Mining and Learning (KiML). KiML has been proven to provide explainable and interpretable frameworks for conversational AI, domain adaptation, recommender systems, and learning to rank problems. Further, its tangible outcomes have been covered by many media outlets. Currently, his research focuses on mental healthcare, crisis informatics, digital security, and conversational assistance. https://manasgaur.github.io Slides link: https://docs.google.com/presentation/d/1cAiKEHchJXtGW47H6jG6GUY9kREcraXEayluyEevAoE/edit#slide=id.g1128630b8af_0_1151 This podcast is sponsored by UBIAI: Website | https://ubiai.tools Blog | https://ubiai.tools/blog Contact | https://ubiai.tools/contact
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