Discovery Early Career Researcher Award - Grant ID: DE170100477
Funder
Australian Research Council
Funding Amount
$380,000.00
Summary
The unintended consequences of foreign military training. This project aims to explore the effects of foreign military training on civil-military relations in recipient states. Developed countries are increasingly training developing countries’ militaries. While training is provided to promote traditional security goals, development, and stability, it may have unintended consequences including increasing the prospect of a coup. Using quantitative and qualitative methods, including case studies o ....The unintended consequences of foreign military training. This project aims to explore the effects of foreign military training on civil-military relations in recipient states. Developed countries are increasingly training developing countries’ militaries. While training is provided to promote traditional security goals, development, and stability, it may have unintended consequences including increasing the prospect of a coup. Using quantitative and qualitative methods, including case studies of the US and Australia, the project aims to explain the effects of these training programs, advance the understanding of civil-military relations and produce policy recommendations to improve outcomes of engagement with foreign militaries.Read moreRead less
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
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