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This paper proposes a diagnostic framework for evaluating generative AI's cultural impacts by distinguishing between structural consequences inherent to the technology and those open to institutional design. By moving beyond imprecise historical analogies like the printing press, it isolates specific governance levers related to the shift from editorial authority to statistical consensus in knowledge synthesis. The work offers policymakers a rigorous method to target interventions at the correct technical mechanisms rather than misdirected cultural properties.
"AI is (not) the new...": A Diagnostic Analogy Framework for Generative AI's Cultural Impacts
arXiv:2609.31482v1 Announce Type: new Abstract: Generative AI is reshaping the cultural infrastructures through which knowledge is found, synthesized, and held accountable. To make sense of this shift, scholars and policymakers reach for historical analogies of technologies such as the printing press, steam power or electricity. But these comparisons are typically imprecise about which property of the technology carries the comparison, and imprecise analogies produce imprecise governance by designing interventions against the wrong property of the system. This paper offers a diagnostic framework for analyzing how generative AI can transform epistemic and cultural practice. This paper offers a diagnostic framework for analyzing how generative AI can transform epistemic and cultural practice. We decompose each intervention into three coordinates: the epistemic site at which a technology acts, the governing logic by which it organizes its object, and the technical mechanism through which the logic is instantiated. This framework allows us to distinguish between structural cultural consequences, which follow from the mechanism itself, from contingent ones, which remain open to design and institutional choice. Applying the framework to information discovery and knowledge synthesis, we show how the shift from indexicality to inference and from editorial authority to statistical consensus produces specific, traceable cultural effects and reveals governance levers that gestalt analogy obscures.
Title:"AI is (not) the new...": A Diagnostic Analogy Framework for Generative AI's Cultural Impacts
Abstract:Generative AI is reshaping the cultural infrastructures through which knowledge is found, synthesized, and held accountable. To make sense of this shift, scholars and policymakers reach for historical analogies of technologies such as the printing press, steam power or electricity. But these comparisons are typically imprecise about which property of the technology carries the comparison, and imprecise analogies produce imprecise governance by designing interventions against the wrong property of the system. This paper offers a diagnostic framework for analyzing how generative AI can transform epistemic and cultural practice. This paper offers a diagnostic framework for analyzing how generative AI can transform epistemic and cultural practice. We decompose each intervention into three coordinates: the epistemic site at which a technology acts, the governing logic by which it organizes its object, and the technical mechanism through which the logic is instantiated. This framework allows us to distinguish between structural cultural consequences, which follow from the mechanism itself, from contingent ones, which remain open to design and institutional choice. Applying the framework to information discovery and knowledge synthesis, we show how the shift from indexicality to inference and from editorial authority to statistical consensus produces specific, traceable cultural effects and reveals governance levers that gestalt analogy obscures.
Artificial Intelligence (cs.AI)
arXiv:2609.31482 [cs.AI]
(or arXiv:2609.31482v1 [cs.AI] for this version)
https://doi.org/10.48550/arXiv.2609.31482 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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