The Use of Machine Learning Algorithms in Independent Regulatory Agencies
In his project, Yunus seeks to understand the digital adoption of independent regulatory agencies. The research closely examines those agencies to see how their performances are affected by digital tools specifically machine learning algorithms. It also addresses the potential challenges that regulatory agencies face when implementing digital tools. Additionally, the project aims to provide a better understanding of how those agencies place algorithms in their operations.
Prof Paul Henman, University of Queensland
Assoc Prof Pedro Fidelman, University of Queensland