Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence
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The study's approach under-represents those with limited digital access or literacy, older adults, individuals outside higher education, and non-Western populations whose cultural frameworks for selfhood may differ substantially.
“Under-represented by this approach are those with limited digital access or literacy, older adults, individuals outside higher education, and non-Western populations whose cultural frameworks for selfhood may differ substantially [50].”
From Encountering Generative AI: Narrative Self-Formation and Technologies of the Self Among Young Adults (2026) · cites this paper as [50]
AI systems are founded on extraction infrastructures-data taken, labor concealed, and resources devoured.
“Crawford (2021) reminds us that artificial intelligence systems are founded on extraction infrastructures-data taken, labor concealed, and resources devoured.”
From Algorithmic Storytelling and Vernacular Folklore: Rewriting the Nenek Pakande Monster in the Age of Generative AI (2026) · cites this paper as Crawford, 2021
AI systems are taught on corpora that replicate dominant publishing patterns, many of which value clear structure and explicit takeaways.
“As Crawford (2021) points out, AI systems are taught on corpora that replicate dominant publishing patterns, many of which value clear structure and explicit takeaways.”
From Algorithmic Storytelling and Vernacular Folklore: Rewriting the Nenek Pakande Monster in the Age of Generative AI (2026) · cites this paper as Crawford, 2021
Global supply chains-including extraction of raw materials, manufacturing of semiconductor chips, and disposal of electronic waste-contribute substantially to AI's environmental cost, yet these distributed impacts remain difficult to track.
“Global supply chains-encompassing the extraction of raw materials, the manufacturing of semiconductor chips, and the disposal of electronic waste-also contribute substantially to AI's environmental cost, yet these distributed impacts remain notoriously difficult to track [24, 83].”
From From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate (2025) · cites this paper as [24]
Some in HCI research embrace new creative tools to create AI Art, but others are skeptical of the hype from different perspectives, including disturbance of social orders, legality of style appropriation, and potential copyright infringement.
“Specifically in the field of HCI research, some embrace these new creative tools to create various AI Art, but others are skeptical of the hype from different perspectives [17], including the disturbance of social orders [44], the legality of style appropriation [38], and potential copyright infringement [18].”
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Cited by 1,361
- Authors
- Crawford, K.
- Corresponding author
- Crawford, Kate
- ORCID
- Crawford, Kate
- Venue
- Yale University Press eBooks
- Publisher
- Yale University Press
- Published
- 2021-03-22
- OpenAlex
- W4205725149
- Cited by
- 1,361
- References
- 0
- Citations by year
- 2026: 587 · 2025: 398 · 2024: 182 · 2023: 119 · 2022: 60 · 2021: 15
- FWCI
- 43.15
- Type
- book
- Language
- it
- Open access
- closed
- Locations
- Yale University Press eBooks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Arts and Humanities › History and Philosophy of Science › Cybernetics and Technology in Society
- Keywords
- artificial intelligence, history of artificial intelligence
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