Discovery Early Career Researcher Award - Grant ID: DE200101253

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DE200101253

Funding Status
Active

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Funded Activity Summary

Making Machine Learning Fair(er). This project aims to develop and implement statistical methods to fight against algorithm bias. In doing so, this project expects to generate new knowledge in the mathematical sciences by employing innovative and interdisciplinary approaches to the development of fairness constraints on machine learning algorithms. Fairness will be seen through the lens of invariance, allowing the developed conceptual framework to find broad applications. Expected outcomes of this project include improved techniques for imposing invariance on deep learning algorithms. This should provide significant benefits to the general public by contributing to the advancement of socially responsible and conscientious machine learning.

Funded Activity Details

Start Date: 09-03-2020

End Date: 16-05-2024

Funding Scheme: Discovery Early Career Researcher Award

Funding Amount: $349,586.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Applied Statistics | Statistics | Knowledge Representation and Machine Learning

ANZSRC Socio-Economic Objective (SEO)

Technological Ethics | Expanding Knowledge in the Mathematical Sciences |

Other Keywords

Applied Statistics | Expanding Knowledge in the Mathematical Sciences | Knowledge Representation and Machine Learning | Statistics | Technological Ethics

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