Discovery Early Career Researcher Award - Grant ID: DE200100692
Funder
Australian Research Council
Funding Amount
$417,842.00
Summary
Stopping in the Real World: Cognitive Architectures for Selective Stopping. Response inhibition is the ability to stop actions that are in progress but become no longer appropriate, such as halting an order to launch a missile strike when a civilian vehicle is detected. The project focuses on people’s ability to either stop all planned actions or selectively stop some actions while allowing others to occur. The goal is to develop methodology to reliably measure the time it takes to stop actions, ....Stopping in the Real World: Cognitive Architectures for Selective Stopping. Response inhibition is the ability to stop actions that are in progress but become no longer appropriate, such as halting an order to launch a missile strike when a civilian vehicle is detected. The project focuses on people’s ability to either stop all planned actions or selectively stop some actions while allowing others to occur. The goal is to develop methodology to reliably measure the time it takes to stop actions, investigate the psychological mechanisms involved in stopping, and develop tools for defence-related personnel and job selection. The project provides significant benefits by enabling the study of how response inhibition ensures that appropriate actions occur and how failures of inhibition result in inappropriate actions. 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