Omar Hussain : Advanced Artificial Intelligence-based approach towards Proactive Risk Management
Heure et date : Le 02 février 2022 à 14h
Lieu : Zoom
Conférencier : Omar Hussain, professeur à l’université de New South Wales (Australie)
Titre : Advanced Artificial Intelligence-based approach towards Proactive Risk Management
Résumé : Risk management is one of the critical activities that need to be done well to ensure the success of an operation. The first step in risk management is risk identification, in which the risk manager identifies the risk events of interest for further analysis. Undertaking this step manually, however, is tedious and time-consuming. With the increased sophistication and capability of advanced computing algorithms, artificial intelligence techniques to increase the efficiency and efficacy of this step needs to be adapted. In this talk, we demonstrate how reinforcement learning, which is one of the recent artificial intelligence techniques, can assist risk managers in identifying the risks to their operations proactively. We further emphasise that while complex machine learning models predict the contributing features leading to a risk outcome, they are primarily black-box in their working nature. This limitation has sparked interest in interpretable machine learning, where glass-box methods provide a contemporary mechanism for explaining the contributing features towards a predicted risk outcome. In this talk, we also explain how Knowledge Graphs combined with System Dynamics and Bayesian network modelling assists the risk manager to determine the chain of features contributing to a risk outcome over a time period
Bio : Omar Hussain is an Associate Professor at the University of New South Wales, Canberra. His research interests are in business intelligence, cloud computing and logistics informatics. In these areas, his research work focuses on utilizing decision making techniques for facilitating smart achievement of business outcomes. His research work has been published in various top international journals such as Information Systems, The Computer Journal, Knowledge Based Systems, Future Generation of Computer Systems etc. He has won awards and funding From competitive bodies such as the Australian Research Council for his research.
