Data Justice in Practice: A Guide for Developers

Abstract

The Advancing Data Justice Research and Practice project aims to broaden understanding of the social, historical, cultural, political, and economic forces that contribute to discrimination and inequity in contemporary ecologies of data collection, governance, and use. This is the consultation draft of a guide for developers and organisations, which are producing, procuring, or using data-intensive technologies. It provides actionable information for those who wish to implement the principles and priorities of data justice in their data practices and within their data innovation ecosystems. 

Citation information

Leslie, David, Katell, Michael, Aitken, Mhairi, Singh, Jatinder, Briggs, Morgan, Powell, Rosamund, Rincón, Cami, Perini, Antonella, Jayadeva, Smera, & Burr, Christopher. (2022). Data Justice in Practice: A Guide for Developers. The Alan Turing Institute in collaboration with The Global Partnership on AI. https://doi.org/10.5281/zenodo.6428185

Additional information

This report was commissioned by the International Centre of Expertise in Montréal in collaboration with GPAI's Data Governance Working Group, and produced by the Alan Turing Institute. The research was supported, in part, by a grant from ESRC (ES/T007354/1), Towards Turing 2.0 under the EPSRC Grant EP/W037211/1, and from the public funds that make the Turing's Public Policy Programme possible.

Turing affiliated authors

Dr Christopher Burr

Innovation and Impact Hub Lead (TRIC-DT), Senior Researcher in Trustworthy Systems (Tools, Practices and Systems)