Quoted as
1 link
Graph · Person
Trevor Paglen
01 · In focus
One person, in the field.
The structured facts the source records about Trevor Paglen, the count of declared adjacencies in the corpus, and the federation map zoomed on this node and its neighbours.
person
↑2 declared connections
02 · Connections
2 adjacencies, by relation.
Split by direction. Direct links are the ones Trevor Paglen’s source record names; inferred backlinks are records elsewhere in the corpus that point at this entity. Some records appear in both because the corpus names them from both sides — those rows carry a note.
Direct from this record
1 link
Links named in this entity's structured fields.
Inferred backlinks
1 link
Other records that name this entity.
Quoted as
1 link
03 · Background
From the source record.
Body prose as it appears in movement-graph’s published markdown for this entity. Links to other corpus entities resolve to their graph page; links to deeper repo paths are kept as text so the page does not invent a route.
Geographer, artist, and author whose practice maps the hidden infrastructures of surveillance, AI training data, and state secrecy — making military and corporate power visible through photography, cartographic analysis, and primary-documents investigation. BA in Religious Studies from UC Berkeley (1998), MFA from the School of the Art Institute of Chicago (2002), and PhD in Geography from UC Berkeley (2008).
2017 MacArthur Fellow for his work revealing the operations of the US surveillance state; 2016 Deutsche Börse Photography Foundation Prize; recipient of the 2026 LG Guggenheim Award.
With Kate Crawford, co-creator of ImageNet Roulette (2019) — the interactive installation that allowed users to see how AI training datasets classified people, exposing the biased and racist categorizations embedded in ImageNet; the project's reach prompted ImageNet to remove over 600,000 images from its "people" categories. Also with Crawford, co-creator of the Training Humans exhibition at Fondazione Prada, Milan (September 2019 – February 2020) and co-author of "Excavating AI: The Politics of Training Sets for Machine Learning" (2019). Author of How to See Like a Machine: Images After AI (Verso, May 2026).
04 · Sources
Where this came from.
4 sources listed from the pinned corpus. Links are shown only when the source URL is a valid HTTP(S) address.
- 4 sources linked out
- 1 body mention linked into the corpus
- 0 references kept as text
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en.wikipedia.org
Checked 2026-09-02Wikipedia entry on Trevor Paglen — primary secondary source for his BA in Religious Studies (UC Berkeley, 1998), MFA (School of the Art Institute of Chicago, 2002), and PhD in Geography (UC Berkeley, 2008); born 1974, Camp Springs, Maryland; career overview as artist, geographer, and author mapping surveillance infrastructure and AI training data
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macfound.org
Checked 2026-09-02MacArthur Foundation — primary source for his 2017 MacArthur Fellowship; citation names his practice of revealing the operations of the US surveillance state through photography, cartographic analysis, and geography
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artforum.com
Checked 2026-09-02Artforum — primary source for ImageNet removing over 600,000 images from its people categories following the attention drawn by Crawford and Paglen's ImageNet Roulette project
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pacegallery.com
Checked 2026-09-02Pace Gallery — primary source for his 2026 LG Guggenheim Award, fourth artist recognized as part of the LG Guggenheim Art and Technology Initiative, unrestricted honorarium of $100,000; Guggenheim curator Naomi Beckwith: "Paglen has undertaken foundational investigations into the infrastructures of surveillance, artificial intelligence, data extraction and state secrecy"
Source: entities/persons/person-trevor-paglen.md — movement-graph pin 5edfc3b.