Australian Laureate Fellowships - Grant ID: FL200100176

Funded Activity 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 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.

Funded Activity Details

Start Date: Start date not available

End Date: End date not available

Funding Scheme: Australian Laureate Fellowships

Funding Amount: $3,128,080.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Statistical Theory | Pattern Recognition and Data Mining | Decision Theory | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Expanding Knowledge in the Information and Computing Sciences | Information Services not elsewhere classified | Social Class and Inequalities |

Other Keywords

Artificial Intelligence and Image Processing | Decision Theory | Expanding Knowledge in the Information and Computing Sciences | Information Services not elsewhere classified | Pattern Recognition and Data Mining | Social Class and Inequalities | Statistical Theory

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