AI Double Feature: Neuro-Symbolic AI / AI and Sustainability
„Artificial Intelligence & Machine Learning“ Prof. Dr. Eyke Hüllermeier LMU
„Applied Statistics in Social Sciences, Economics and Business“ Prof. Dr. Göran Kauermann LMU
„Statistical NLP and Deep Learning“ Prof. Dr. Hinrich Schütze LMU
This workshop is held by Prof. Hüllermeier, our GDS Chair Prof. Kauermann and Prof. Schütze. In spite of the tremendous success of machine learning, especially in its modern guise of deep learning, purely statistical, data-driven approaches to artificial intelligence (AI) are still lacking the commonsense abilities that distinguishes humans from machines. Neurosymbolic AI is a new branch of AI that seeks to combine the best of both worlds, data-driven learning and inductive inference on the one side, and more human-like symbolic reasoning and knowledge processing on the other. This AI double-feature workshop discusses the latest developments in the field of neuro-symbolic AI as well as the impact of AI on sustainable development.