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 :



Interview with Amina Mević: Machine learning applied to semiconductor manufacturing

  17 Apr 2025
Find out how Amina is using machine learning to develop an explainable multi-output virtual metrology system.

Images of AI – between fiction and function

“The currently pervasive images of AI make us look somewhere, at the cost of somewhere else.”

Grace Wahba awarded the 2025 International Prize in Statistics

  16 Apr 2025
Her contributions laid the foundation for modern statistical techniques that power machine learning algorithms such as gradient boosting and neural networks.

Repurposing protein folding models for generation with latent diffusion

  14 Apr 2025
The awarding of the 2024 Nobel Prize to AlphaFold2 marks an important moment of recognition for the of AI role in biology. What comes next after protein folding?

AI UK 2025 conference recordings now available to watch

  11 Apr 2025
Listen to the talks from this year's AI UK conference.

#AAAI2025 workshops round-up 2: Open-source AI for mainstream use, and federated learning for unbounded and intelligent decentralization

  10 Apr 2025
We hear from the organisers of two workshops at AAAI2025 and find out the key takeaways from their events.

Accelerating drug development with AI

  09 Apr 2025
Waterloo researchers use machine learning to predict how new drugs could affect the body




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association