AI and The Enclosure of the Scientific Commons

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 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.

• The paper is conjectured to analyze how artificial intelligence influences the control, access, and ownership of shared scientific resources, referred to as the scientific commons.
• The paper may discuss the implications of proprietary AI systems and intellectual property regimes in shaping access to scientific knowledge.
• The potential impact on empirical research and resource allocation in academic and scientific fields is a likely focus of the paper.

Available material

The supplied content does not contain the paper’s substantive argument. It consists only of the beginning of a LaTeX source file: document-class configuration, citation-formatting patches, bibliography-style declarations, macro definitions, and the opening \begin{document} command. No abstract, introduction, theoretical framework, empirical analysis, figures, results, discussion, limitations, or conclusion is included.

Consequently, the paper’s claims about artificial intelligence and the scientific commons cannot be reconstructed reliably from the material provided. In particular, there is no basis for determining whether the paper develops an economic analysis of scientific enclosure, examines proprietary AI infrastructures, studies intellectual-property regimes, analyzes scientific publishing, or advances an empirical claim about the distribution of research resources.

What can be inferred from the source

The document uses the aastex701 class, indicating a format associated with astronomical and astrophysical publications. The bibliography is configured with the aasjournalv7 style, and the source modifies natbib citation handling so that author–year citations are hyperlinked while preserving the desired textual formatting. These implementation details concern manuscript presentation rather than the paper’s scientific argument.

The title, “AI and The Enclosure of the Scientific Commons,” suggests an investigation of how AI may alter access to, control over, or ownership of shared scientific resources. However, interpreting this as the paper’s thesis would be speculative. The supplied source does not define “scientific commons,” identify the mechanisms of enclosure under consideration, state any hypotheses, or present evidence supporting a causal relationship between AI and enclosure.

Missing evidence for an authoritative summary

A substantive essay would require, at minimum, the paper’s abstract and main body. The absent material is necessary to establish:

• the precise definition of the scientific commons;
• the historical or institutional framework used to analyze enclosure;
• the relevant AI systems, data, models, compute resources, or infrastructures;
• whether the argument is normative, theoretical, empirical, or mixed-methods;
• the evidence and methodology supporting the central claims;
• any quantitative results or comparative case studies;
• the paper’s treatment of counterarguments and limitations; and
• the specific policy or governance implications advanced by the authors.

No numerical results or bold claims can be reported because none appear in the supplied text. A detailed essay presenting such claims would therefore risk attributing arguments and findings to the paper that are not present in the provided material.

Conclusion

The submission contains only LaTeX preamble code and does not provide enough textual content for a reliable scholarly essay. The paper’s abstract or complete body text is needed to produce the requested authoritative summary, including its arguments, evidence, numerical results, limitations, and conclusions.