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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.
Reports
2022
Data Justice Policy Brief: Putting Data Justice into Practice (November 2022)
A Primer on Data and Social Justice (November 2022)
A Primer on Data and Economic Justice (November 2022)
Data Justice in Practice: A Guide for Policymakers (March 2022)
Data Justice in Practice: A Guide for Impacted Communities (March 2022)
Data Justice in Practice: A Guide for Developers (March 2022)
Advancing Data Justice: Research and Practice - An Integrated Literature Review (March 2022)
Advancing Data Justice: Research and Practice - Data Justice Stories: A Repository of Case Studies (March 2022)