Advancing research and practice on data justice
This project aims to fill a gap in data justice research and practice that provides a frame to help practitioners and users to move beyond understanding data governance narrowly as a compliance matter of individualised privacy or ethical design. The project seeks to include considerations of equity and justice in terms of access to and visibility and representation in data used in the development of AI/ML systems.
The project aims to (1) provide an annotated bibliography and critical review of the literature to provide needed context and identify gaps that need to be filled as we move towards a more complete view of data justice and a forward-looking research agenda, and (2) develop ‘preliminary guides’ that will document key questions that our target audiences (developer communities, policy makers, communities and individuals potentially marginalised by AI/ML systems) should be asking based on an assessment of the critical review of the literature and practice.
Data Justice Stories: A Repository of Case Studies (March 2022)
The short-term outputs of the project would include:
- The state of the art research assessment presented as an ongoing research agenda
- The preliminary guidance for developer communities, policy makers, and communities and individuals marginalised by AI/ML systems
- Pilot partners announced to test, refine and validate guidance in 2022