Research Supervisor Connect
This research project will use large-scale datasets to explore and understand the fairness of different machine-learning algorithms deployed in various contexts for predictive modelling.
With the high-tech computational advancements in recent years, AI-based systems have increasingly been used in numerous sensitive environments to make essential and life-changing decisions. Therefore, we must ensure these decisions are fair and bias-free. They do not show discriminatory behaviour or bias towards specific groups or populations. The current literature shows that different real-world AI-based systems tend to make unfair and biased decisions, mainly sourced from data used, algorithms and the users. In addition to making false alarms in the underlying contextual settings, such unfair outcomes will inherently create more bias for training future algorhtms. This research project will explore different facets of fair machine learning and its impact in various domains and develop approaches to detect bias, which will help us avoid unfair AI-based decisions.
Successful candidates must:
How to Apply:
To apply, please email shahadat.uddin@sydney.edu.au the following:
The opportunity ID for this research opportunity is 3420