This report explores how corporate Artificial Intelligence (AI) impacts institutions serving the public good, focusing on universities and social services. It invites reflection and critical questioning through thought‑provoking prompts. Designed to spark dialogue, advocacy and policy engagement, it offers resources that encourage deeper exploration of AI’s role through a Data Justice lens.

Data Justice is a framework that focuses attention on the societal impacts and social justice implications of data-driven systems, including AI. This approach expands the frame beyond individual privacy, copyright, efficiency and convenience, to centre social justice and public interest concerns.

Conversation prompts

1. Business models
2. Climate impacts
3. Bias and discrimination
4. Surveillance, control and coercion
5. Consent and refusal
6. Expertise and voice
7. Participation and co-option
8. Alternatives