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Advancing research and practice on data justice

This project was established to fill a gap in data justice research and practice and provides a frame to help policy makers, practitioners and users move beyond understanding data governance narrowly as a compliance matter of individualised privacy or ethical design. Rather, considerations of equity and justice specifically are considered as they relate to redressing the uneven distribution of opportunities, and harms, associated with AI and ML. The objective is to make significant progress in getting more equitable access to, greater visibility and fairer representation of those individuals and communities marginalised from data used in the development of AI/ML systems, through the adoption of more just principles into AI policy and practice.