Build competency aware and assuring machine learning systems
Description: Recent development in machine learning (ML) has seen ML models with extremely high prediction accuracy. However, to support human-machine partnership in decision-making in complex environments, beyond accuracy, it is essential for ML systems to be competency aware and reliable, and at the same time be exploratory. This project aims to develop novel techniques to equip a ML system with the ability to identify own competency, to justify its competency and decisions, to explore unknown situations and fully utilise existing expertise to deal with unknowns. The expected outcomes of the project will enable ML systems to become truely intelligent and reliable machine partners for human decision makers in a wide range of applications.
Funder: Australian Research Council
Amount: A$467,900
Funding type: research
Funder scheme: Discovery Projects
Start date: 2023-01-01
End date: 2026-12-31
Investigator: Lin Liu
Institution: University of South Australia
Funded outputs count: 23
Funder award ID: DP230101122
OpenAlex ID: G34411200