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: DE160101535
Funder
Australian Research Council
Funding Amount
$363,000.00
Summary
Ancient genomics of Western Australian taxa to inform conservation management. The project aims to apply genomic approaches to infer the genetic health and evolutionary history of three threatened, iconic Western Australian taxa: black cockatoos, ghost bats and woylies. Genomic data provide a powerful lens through which to study species, but the applications of genomic techniques in conservation biology have been sparse. Effective restoration and conservation initiatives require an understanding ....Ancient genomics of Western Australian taxa to inform conservation management. The project aims to apply genomic approaches to infer the genetic health and evolutionary history of three threatened, iconic Western Australian taxa: black cockatoos, ghost bats and woylies. Genomic data provide a powerful lens through which to study species, but the applications of genomic techniques in conservation biology have been sparse. Effective restoration and conservation initiatives require an understanding of species' former population sizes, connectivity and biodiversity. The project seeks to elucidate the population genetic, phylogenetic, and conservation genetic parameters of the three species at the genomic level using DNA isolated from modern and ancient sources (eg museum skins and fossils). The information gained may inform conservation efforts for some of Australia’s endangered biota.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