ΑΙhub.org
 

Advancing data justice research and practice project


by
31 March 2023



share this:

black, white and grey hands with text in the backgroundScreenshot from the data justice video.

Advancing data justice research and practice is a collaboration between the Global Partnership on AI (GPAI), The Alan Turing Institute, 12 policy pilot partners, and participants and communities across the globe. The project aims to augment the current thinking around data justice and to provide actionable resources that will help policymakers, practitioners, and impacted communities.

As part of the project, a short series of documentaries tracks the work of the participants. The first instalment was published last year and discusses how data-driven technologies can be deployed in a way which is compatible with values of social justice.

The second episode of this series has recently been released, and you can watch it below. It defines data injustice and explores some case studies of the human consequences of such injustice.

A major contributions of the project has been the production of a series of three practical guides for policymakers, impacted communities, and developers. The guides consist of background content on data justice and how this relates to AI, as well as practical questions for stakeholder groups to consider in their practice, use, and experience of AI/ML systems.

You can find links to all of the guides here. The pdf versions are at these links:
Data Justice in Practice: A Guide for Policymakers
Data Justice in Practice: A Guide for Impacted Communities
Data Justice in Practice: A Guide for Developers

Find out more about the project here.




Lucy Smith is Senior Managing Editor for AIhub.
Lucy Smith is Senior Managing Editor for AIhub.




            AIhub is supported by:



Related posts :



More than half of new articles on the internet are being written by AI

  31 Dec 2025
The line between human and machine authorship is blurring, particularly as it’s become increasingly difficult to tell whether something was written by a person or AI.
monthly digest

2025 digest of digests

  30 Dec 2025
We look back through the archives of our monthly digests to pick out some highlights from the year.
monthly digest

AIhub monthly digest: December 2025 – studying bias in AI-based recruitment tools, an image dataset for ethical AI benchmarking, and end of year com

  29 Dec 2025
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

Half of UK novelists believe AI is likely to replace their work entirely

  24 Dec 2025
A new report asks literary creatives about their views on generative AI tools and LLM-authored books.

RL without TD learning

  23 Dec 2025
This post introduces a reinforcement learning algorithm based on a divide and conquer paradigm.

AIhub interview highlights 2025

  22 Dec 2025
Join us for a look back at some of the interviews we've conducted with members of the AI community.

Identifying patterns in insect scents using machine learning

  19 Dec 2025
Scientists will use machine learning to predict what types of molecules interact with insect olfactory receptors.

2025 AAAI / ACM SIGAI Doctoral Consortium interviews compilation

  18 Dec 2025
We collate our interviews with the 2025 cohort of doctoral consortium participants.



 

AIhub is supported by:






 












©2025.05 - Association for the Understanding of Artificial Intelligence