ΑΙhub.org
 

Advancing data justice – a short documentary


by
27 April 2022



share this:
hands with world map

The Advancing Data Justice project is a Global Partnership on AI (GPAI) initiative, led by The Alan Turing Institute. Researchers from the Institute have been collaborating with twelve Policy Pilot Partner organisations from Asia, Oceania, Africa, and South America, and each of these have been working to understand what data justice might look like in their distinct contexts.

The aims of the project are 1) to gain a better understanding of the current state of research in the field to better inform future research directions, and 2) to create a guide for policymakers, developers, and communities affected by AI, comprising advice on what they should consider in their practice, use and experience of AI systems.

As part of the project, the team have recently launched the first instalment of a documentary series which tracks the work of the project partners. They discuss how data-driven technologies can be deployed in a way which is compatible with values of social justice.

In the three documentaries to come, the following topics will be considered in more detail:

  1. The human impact of past data injustices.
  2. The present issues facing data activists around the world.
  3. The future of the data justice movement, and the actions we must prioritise now.

Find out more about the Advancing Data Justice project here.


AIhub focus issue on reduced inequalities


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

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Engineering Out Loud: S13E2 – Ethics in AI presentation

  31 Jul 2026
Hear from Oregon State University researchers Houssam Abbas and Alicia Patterson.

Humans trained to spot AI faces in the battle against deepfake fraud

Researchers trained people to spot AI-generated faces by drawing their attention to six perceptual qualities.
monthly digest

AIhub monthly digest: July 2026 – time-series anomaly detection, music generation, and RoboCup in action

  29 Jul 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

OpenAI’s models autonomously hacked a tech startup. It signals a seismic shift in cybersecurity

  28 Jul 2026
An autonomous agent powered by OpenAI’s went rogue during a security test and hacked multi-billion dollar tech startup, Hugging Face.

Towards experiment-guided AlphaFold

Researchers enhance Nobel Prize-winning structural prediction model.

AI listens in to help protect wildlife

  24 Jul 2026
Scientists are using AI systems to help track species and spot ecosystem changes.

How can we characterize consensus in a network of agents?

  23 Jul 2026
Belief Flow Networks give a logic-based way to ask not only whether connected agents will eventually agree on a shared "belief", but which final shared beliefs can emerge.

Anyone can fake a scientific image with AI, tricking even academic journals – and undermining trust in science

  22 Jul 2026
The proliferation of AI-generated science images in public spaces is not simply a misinformation problem.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence