The Tech Injustice Evidence Repository

Joe Roberson

A curated resource of tech harms and injustices - 2023 onwards.

We the Catalysts CIC (trading as Catalyst) was a Community Interest Company, whose registered company number was 15519453.

You are free to copy and adapt it. Read the terms.

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Legacy note

Catalyst CIC closed in March 2026 but the Tech Injustice Evidence Repository continues as a shared catalogue of research, data and stories about technology‑related harms and injustices, now stewarded by Stacey Kelly-Maher and Shaf Choudry. If you have questions, want to share new evidence, or are interested in collaborating, you can contact them: Shaf (shaf@riztest.com) or Stacey (skellymaher@proton.me).

Since 2023 a growing number of reports and studies have shown how technology contributes to and deepens injustice and inequality. However, it has been difficult to find a clear, up-to-date summary of this evidence in one place. To help address this, we asked Shaf Choudry from The Riz Test to carry out a focused, three-day research project curating key findings from January 2023 onwards.

The result is The Tech Injustice Evidence Repository – a curated list of 68 headline statistics, quotes, and links to sources. We hope it will be useful for anyone in the network who needs up-to-date evidence for funding applications, research with communities, or future content.

What’s in the repository?

The repository lists evidence of a range of issues where technology creates injustice, including:

Digital exclusion and poverty: For example, 10 million adults in the UK lack basic digital skills. This limits their access to essential services and most job opportunities. Around 1.6 million people are completely offline, and poverty is a growing barrier. We’ve written about why digital exclusion is a tech justice issue.
Bias and discrimination in AI: Automated systems used in public services, like benefits or visa applications, can reinforce existing inequalities. Algorithms have flagged thousands of people for fraud incorrectly. There is a lack of transparency about how decisions are made.
Surveillance and privacy: The expansion of facial recognition and other surveillance technologies raises concerns about privacy and fairness. Especially for people already marginalised. For example, the use of facial recognition in supermarkets and public spaces has been criticised for targeting poorer areas and minority groups.
Algorithmic exploitation: Gig economy workers and vulnerable groups can be affected by opaque algorithms that influence pay and working conditions. Often without explanation or clear recourse.
Spread of hate and misinformation: Social media algorithms have played a role in amplifying harmful content. Sometimes this fuels real-world violence or discrimination.

Each entry in the evidence base includes a headline statistic, source link, date, relevant tags (like “poverty”, “racism”, “asylum”, “surveillance”), and selected quotes from the research or reporting.

View The Tech Injustice Evidence Repository.

Why we’re sharing it

We’re making this data available because we see a need for a shared, up-to-date evidence base across the Catalyst network. Having this information in one place can help:

Make a stronger, evidence-led case for funding
Inform research and engagement with communities
Support the creation of new content or advocacy

This work is just a start. We want to make it easier for everyone to find good evidence about tech harms and injustice. There is more to add, and we know the resource will need updates in the future. If you notice anything missing or have ideas for more evidence, please let us know. Your feedback is welcome.