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AI and the Enclosure of the Scientific Commons

AI and the Enclosure of the Scientific Commons

1 hour ago

Astrophysics > Instrumentation and Methods for Astrophysics

arXiv:2610.27251 (astro-ph)

Title:AI and The Enclosure of the Scientific Commons

Authors:P. K. G. Williams (Center for Astrophysics | Harvard & Smithsonian)
View a PDF of the paper titled AI and The Enclosure of the Scientific Commons, by P. K. G. Williams (Center for Astrophysics | Harvard & Smithsonian)
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Abstract:The scientific literature can be viewed as an "information commons:" an intangible resource that "no one owns and is shared by everyone." There are well-established economic and political frameworks for understanding such commons, emerging from the history of agricultural common lands found in places like preindustrial England. This article provides a primer on the history and these frameworks, and considers a key difference between the information commons and the fields of yore: while information commons are robust and immensely valuable --- some can be said to rank among humanity's greatest achievements --- the English agricultural commons no longer meaningfully exist. The latter are gone not because of the well-known "tragedy of the commons," but rather a phenomenon known as the enclosure movement (~1600--1800) that transformed the common lands into private property. Many observers, then and now, judge enclosure to have been theft at a societal scale. This article argues that artificial intelligence (AI) provides precisely the tools needed to enable a previously-infeasible enclosure of the information commons. Although AI-enabled enclosure does not operate identically to physical enclosure, it shares the key features of turning the commons into private wealth and undermining the social systems that support them (via "slop spam"). The concepts presented in this article can provide a scholarly basis for interrogating the foreboding feeling that AI may represent not just a smash-and-grab, but an attack upon a whole way of life.
Comments: 14 pages, 32 references for the reader wishing to learn more
Subjects: Instrumentation and Methods for Astrophysics (astro-ph.IM); Computers and Society (cs.CY)
Cite as: arXiv:2610.27251 [astro-ph.IM]
  (or arXiv:2610.27251v1 [astro-ph.IM] for this version)
  https://doi.org/10.48550/arXiv.2610.27251
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Peter Williams [view email]
[v1] Mon, 19 Oct 2026 20:22:54 UTC (110 KB)
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