Resources

Books

• Berners-Lee, M. (2019). There is no Plan(et) B: A handbook for the make or break years. Cambridge University Press.

• O’Neil, C. (2017). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown.

Articles

• Bainbridge, L. (1983). Ironies of automation. Automatica, 19(6), 775–779. https://doi.org/10.1016/0005-1098(83)90046-8

• Bender, E. M. (2024). Resisting Dehumanization in the Age of “AI”. Current Directions in Psychological Science, 33(2), 114-120. https://doi.org/10.1177/09637214231217286

• Birhane, A. (2020). Algorithmic Colonization of Africa. SCRIPT-Ed, 17(2), 389–409. https://doi.org/10.2966/scrip.170220.389

• Birhane, A., & Guest, O. (2021). Towards Decolonising Computational Sciences. Kvinder, Køn & Forskning, 2, 60–73. https://doi.org/10.7146/kkf.v29i2.124899

• Casilli, A. A., Tubaro, P., Cornet, M., Ludec, C. L., Torres-Cierpe, J., & Braz, M. V. (2024). Global Inequalities in the Production of Artificial Intelligence: A Four-Country Study on Data Work (No. arXiv:2410.14230). arXiv. https://doi.org/10.48550/arXiv.2410.14230

• Gebru, T., & Torres, É. P. (2024). The TESCREAL bundle: Eugenics and the promise of utopia through artificial general intelligence. First Monday, 29(4). https://doi.org/10.5210/fm.v29i4.13636

• Forbes, S. H., & Guest, O. (2025). To Improve Literacy, Improve Equality in Education, Not Large Language Models. Cognitive Science, 49(4), e70058. https://doi.org/10.1111/cogs.70058

• Li, P., Yang, J., Islam, M. A., & Ren, S. (2023). Making AI Less “Thirsty”: Uncovering and Addressing the Secret Water Footprint of AI Models (Version 4). arXiv. https://doi.org/10.48550/ARXIV.2304.03271

• Rachovitsa, A., & Johann, N. (2022). The Human Rights Implications of the Use of AI in the Digital Welfare State: Lessons Learned from the Dutch SyRI Case. Human Rights Law Review, 22(2), ngac010. https://doi.org/10.1093/hrlr/ngac010

• Ricaurte, P. (2022). Ethics for the majority world: AI and the question of violence at scale. Media, Culture & Society, 44(4), 726–745. https://doi.org/10.1177/01634437221099612

• Valdivia, A. (2024). The supply chain capitalism of AI: a call to (re)think algorithmic harms and resistance through environmental lens. Information, Communication & Society, 1–17. https://doi.org/10.1080/1369118X.2024.2420021

• Van Wynsberghe, A. (2021). Sustainable AI: AI for sustainability and the sustainability of AI. AI and Ethics, 1(3), 213–218. https://doi.org/10.1007/s43681-021-00043-6

• van Rooij, I., & Guest, O. (2025). Combining Psychology with Artificial Intelligence: What could possibly go wrong? PsyArXiv. https://doi.org/10.31234/osf.io/aue4m_v1

• van Rooij, I., Guest, O., Adolfi, F., De Haan, R., Kolokolova, A., & Rich, P. (2024). Reclaiming AI as a Theoretical Tool for Cognitive Science. Computational Brain & Behavior, 7(4), 616–636. https://doi.org/10.1007/s42113-024-00217-5

Reports

• Fergusson, G., Schroeder, C., Winters, B., & Zhou, E. (2023). Generating Harm. Generative AI’s Impact & Paths Forwa. EPIC (Electronic Privacy Information Center). https://epic.org/documents/generating-harms-generative-ais-impact-paths-forward/

• Sellman, M., & Vaughan, A. (2024, October 4). ‘Thirsty’ ChatGPT uses four times more water than previously thought. The Times. https://www.thetimes.com/uk/technology-uk/article/thirsty-chatgpt-uses-four-times-more-water-than-previously-thought-bc0pqswdr

News articles

• Graham, T. (2024, September 25). Mexico’s datacentre industry is booming – but are more drought and blackouts the price communities must pay? The Guardian. https://www.theguardian.com/global-development/2024/sep/25/mexico-datacentre-amazon-google-queretaro-water-electricity

• Heikkilä, M. (2022, March 29). Dutch scandal serves as a warning for Europe over risks of using algorithms. Politico. https://www.politico.eu/article/dutch-scandal-serves-as-a-warning-for-europe-over-risks-of-using-algorithms/

• Kerr, D. (2025, April 10). Elon Musk’s xAI powering its facility in Memphis with ‘illegal’ generators. The Guardian. https://www.theguardian.com/us-news/2025/apr/09/elon-musk-xai-memphis

• O’Brien, I. (2024, September 15). Data center emissions probably 662% higher than big tech claims. Can it keep up the ruse? The Guardian. https://www.theguardian.com/technology/2024/sep/15/data-center-gas-emissions-tech

• Penn, I., & Weise, K. (2024, October 16). Hungry for Energy, Amazon, Google and Microsoft Turn to Nuclear Power. The New York Times. https://www.nytimes.com/2024/10/16/business/energy-environment/amazon-google-microsoft-nuclear-energy.html

• Reuters. (2024, January 16). OpenAI CEO Sam Altman says at Davos future AI depends on energy breakthrough. The Economic Times. https://economictimes.indiatimes.com/tech/technology/openai-ceo-sam-altman-says-at-davos-future-ai-depends-on-energy-breakthrough/articleshow/106906470.cms

• Vynck, G. D. (2024, October 29). The AI boom may unleash a global surge in electronic waste. The Washington Post. https://www.washingtonpost.com/technology/2024/10/29/ai-electronic-waste-recycling/

Blog posts

• A Sustainability Manifesto for Higher Education.
  https://repository.ubn.ru.nl/handle/2066/301240

• Critical AI literacy: Beyond hegemonic perspectives on sustainability
  https://rcsc.substack.com/p/critical-ai-literacy-beyond-hegemonic

• Generative AI and Research Integrity. OSF.
  https://doi.org/10.31219/osf.io/2c48n

• Don’t believe the hype: AGI is far from inevitable. Radboud University. https://www.ru.nl/en/research/research-news/dont-believe-the-hype-agi-is-far-from-inevitable

• AI tools show biases in ranking job applicants’ names according to perceived race and gender
  https://www.washington.edu/news/2024/10/31/ai-bias-resume-screening-race-gender/

Case studies

• https://www.myannahealth.com/

Podcast

• https://www.dair-institute.org/maiht3k/

Videos

• More Perfect Union (Director). (2025, March 27). I Live 400 Yards From Mark Zuckerberg’s Massive Data Center [Video recording]. https://www.youtube.com/watch?v=DGjj7wDYaiI

• Cognition. How your mind can amaze and betray you
  https://www.youtube.com/watch?v=R-sVnmmw6WY

• Questions for any LLM-pusher
  https://danmcquillan.org/ai_disabilty_q_and_a.html
  https://www.danmcquillan.org/questions_for_anthropic.html