In this talk, I will give an overview of the past, present, and future of Artificial Intelligence (AI) as a research field. Specifically, I provide examples of using AI techniques to solve a diverse set of problems across several sub-disciplines of Artificial Intelligence, including modelling of several aspects of human language learning, analyzing user-generated content (image and text), and the use of Machine Learning and Natural Language Processing to account for the instability of law. My goal is to show how far the field has come since the early days of AI, to shed light on what AI is, and to elaborate on what AI can and cannot do.
"Dr. Afsaneh Fazly is a Research Director at Samsung Toronto AI Centre, and an Adjunct Professor at the Computer Science Department of University of Toronto in Canada. Afsaneh has extensive experience in both academia and the industry, publishing award-winning papers, and building strong teams solving real-world problems. Afsaneh's research draws on many subfields of Artificial Intelligence, including Computational Linguistics, Cognitive Science, Computational Vision, and Machine Learning. Afsaneh strongly believes that solving many of today's real-world problems requires an interdisciplinary approach that can bridge the gap between machine intelligence and human cognition. Before joining Samsung Research, Afsaneh worked at several Canadian companies as Research Director, where she helped build and lead teams of outstanding scientists and engineers solving a diverse set of AI problems. Prior to that, Afsaneh was a Research Scientist and Course Instructor at the University of Toronto, where she also received her PhD from."