Big AI is accelerating the metacrisis: What can we do?
Not on the map. Why?
Abstract (arXiv)
The world is in the grip of ecological, meaning, and language crises that are converging into a metacrisis. Big AI is accelerating them all. LLM engineering sits at the core. Despite the public good motives of language engineers and the promise of LLMs, this work is being leveraged to create unprecedented wealth and power for a handful of individuals and corporations while causing existential harm to life on earth. As a profession, we urgently need to come together to explore alternatives and to design a life-affirming future for our field of natural language processing that is centered on human flourishing on a living planet.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 19 of its 145 references that are in the map. First posted on arXiv 31 Dec 2025.
Builds on
19 of 145 references.
References · 19
- 2020Language (Technology) is Power: A Critical Survey of "Bias" in NLPcited by 956
- 2019Green AIcited by 627
- 2021The Values Encoded in Machine Learning Researchcited by 172
- 2022Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reductioncited by 138
- 2024A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthinesscited by 127
- 2020Decolonial AI: Decolonial Theory as Sociotechnical Foresight in Artificial Intelligencecited by 101
- 2025Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providerscited by 69
- 2025Energy Considerations of Large Language Model Inference and Efficiency Optimizationscited by 55
- 2022Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learningcited by 48
- 2020The Grey Hoodie Project: Big Tobacco, Big Tech, and the threat on academic integritycited by 38
- 2024AI and the Problem of Knowledge Collapsecited by 34
- 2023The Elephant in the Room: Analyzing the Presence of Big Tech in Natural Language Processing Researchcited by 27
7 more
- 2019Value-laden Disciplinary Shifts in Machine Learningcited by 25
- 2020Against Scale: Provocations and Resistances to Scale Thinkingcited by 18
- 2024"It's how you do things that matters": Attending to Process to Better Serve Indigenous Communities with Language Technologiescited by 12
- 2024On Tables with Numbers, with Numberscited by 4
- 2025Designing Speech Technologies for Australian Aboriginal English: Opportunities, Risks and Participationcited by 3
- 2025Anti-Regulatory AI: How "AI Safety" is Leveraged Against Regulatory Oversightcited by 3
- 2023Collaboration or Corporate Capture? Quantifying NLP's Reliance on Industry Artifacts and Contributionscited by 2
Built on by
Citing papers per year: 2026: 1.
1 paper.