Theoretical Foundations of Ethical Machine Learning. The project aims to develop a systematic theory of ethical machine learning. Machine learning is a powerful and pervasive technology that is already having a huge impact on Australia. When applied to data about people there are a range of ethical harms that can arise (fairness, and privacy are two of them). The project aims to develop a rigorously grounded foundation for managing such ethical harms. For example it will allow the quantification ....Theoretical Foundations of Ethical Machine Learning. The project aims to develop a systematic theory of ethical machine learning. Machine learning is a powerful and pervasive technology that is already having a huge impact on Australia. When applied to data about people there are a range of ethical harms that can arise (fairness, and privacy are two of them). The project aims to develop a rigorously grounded foundation for managing such ethical harms. For example it will allow the quantification of the inevitable trade-offs between fairness and utility. The benefits of the project should include better ways of managing these trade-offs, a competitive advantage for Australian firms developing the technology, and will ensure that the country retains a social license to use the technology.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100293
Funder
Australian Research Council
Funding Amount
$372,000.00
Summary
Cracking the phosphoinositide code. This project seeks to determine how protein interactions with membrane lipids regulate recruitment to cellular organelles, providing new insight into the complex pathways of cellular homeostasis. Controlling the distribution of proteins within cells is critical for cell signalling and membrane trafficking. This is orchestrated by the interaction of specific protein modules with lipids on the surface of different organelles. The phox homology (PX) domain is a l ....Cracking the phosphoinositide code. This project seeks to determine how protein interactions with membrane lipids regulate recruitment to cellular organelles, providing new insight into the complex pathways of cellular homeostasis. Controlling the distribution of proteins within cells is critical for cell signalling and membrane trafficking. This is orchestrated by the interaction of specific protein modules with lipids on the surface of different organelles. The phox homology (PX) domain is a lipid-binding module found in numerous proteins essential for normal cell trafficking and homeostasis, and perturbed in many conditions including immune dysfunction and cancer. This project plans to investigate molecular determinants of PX-lipid association, generating knowledge about protein-membrane interactions required for cellular function. These insights may underpin future drug design.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL200100176
Funder
Australian Research Council
Funding Amount
$3,128,080.00
Summary
Theoretical Foundations of Ethical Machine Learning. The project will develop a systematic theory of ethical machine learning. Machine learning is a powerful and pervasive technology that is already having a huge impact on Australia. When applied to data about people there are a range of ethical harms that can arise (fairness, and privacy are two of them). The project will develop a rigorously grounded foundation for managing such ethical harms. For example it will allow the quantification of t ....Theoretical Foundations of Ethical Machine Learning. The project will develop a systematic theory of ethical machine learning. Machine learning is a powerful and pervasive technology that is already having a huge impact on Australia. When applied to data about people there are a range of ethical harms that can arise (fairness, and privacy are two of them). The project will develop a rigorously grounded foundation for managing such ethical harms. For example it will allow the quantification of the inevitable trade-offs between fairness and utility. The benefits of the project will include the best possible ways of managing these trade-offs, competitive advantage for Australian firms developing the technology, and will ensure that the country retains a social license to use the technology.Read moreRead less