Vaishak Belle

Experiential AI: Challenges In Enabling Explainability and Ethical Responsibility In Automated Systems

Vaishak Belle is a Chancellor’s Fellow at the School of Informatics, University of Edinburgh, an Alan Turing Institute Faculty Fellow, and a member of the RSE (Royal Society of Edinburgh) Young Academy of Scotland. Vaishak’s research is in artificial intelligence, and is motivated by the need to augment learning and perception with high-level structured, commonsensical knowledge, to enable AI systems to learn faster and more accurate models of the world. He is interested in computational frameworks that are able to explain their decisions, modular, re-usable, and robust to variations in problem description. He has co-authored over 40 scientific articles on AI, and along with his co-authors, he has won the Microsoft best paper award at UAI, and the Machine learning journal award at ECML-PKDD. In 2014, he received a silver medal by the Kurt Goedel Society. More information can be found at: http://vaishakbelle.com/lab

Synopsis

Experiential AI: Challenges In Enabling Explainability and Ethical Responsibility In Automated Systems