NB: Each semester, we select a theme to orient our activities around. These tend to be broadly within the remit we give ourselves – to think critically about technologies from a global and transnational lens. The short versions of the reading lists serve as a common ground on ‘reading group days’ where we meet to discuss scholarship around the selected theme. The long lists are living documents where any member or affiliate can add to and is meant to be an open access archive on the topic.
Chan, Anita Say. 2025. Predatory Data: Eugenics in Big Tech and Our Fight for an Independent
Future. University of California Press. https://library.oapen.org/handle/20.500.12657/96950
Amrute, Sareeta. 2025. “Thinking the Unthinkable in AI: Four Hegemonic Ways of Seeing AI
and Five Majority World Ways to Move Beyond Them.” Antipode. https://onlinelibrary.wiley.com/doi/10.1111/anti.70051
Tacheva, Jasmina, and Srividya Ramasubramanian. 2023. “AI Empire: Unraveling the Interlocking Systems of Oppression in Generative AI’s Global Order.” Big Data & Society. https://journals.sagepub.com/doi/pdf/10.1177/20539517231219241
Ganesh, Maya Indira. 2022. “Between metaphor and meaning: AI and being human.”
Interactions 29 (5): 58–62. https://dl.acm.org/doi/abs/10.1145/3551669?download=true
Hao, Karen. 2025. Empire of AI: Dreams and Nightmares in Sam Altman’s OpenAI. Penguin
Random House. https://dl.acm.org/doi/abs/10.1145/3551669?download=true
Ganesh, Maya Indira. 2024. Auto-Correct: The Fantasies and Failures of AI, Ethics, and the
Driverless Car. ArtEZ Press. https://artezpress.artez.nl/books/auto-correct/