技术混合体：AI 中介社会中的递归语义规范化
Technohybridism: Recursive Semantic Normalization in AI-Mediated Societies
AI 导读
arXiv 论文提出“递归语义规范化”概念：机器生成的语言表述在被反复采纳、复用并被机构保留后，参与语义规律再生产与变化。文章以“技术混合体”为框架，把分析单位界定为人类实践、计算生成与机构采纳递归耦合的混合语义系统，区分生成、选择、采纳、存续四个环节，并指出溯源被洗白、认知多样性受侵蚀、共享阐释资源收窄等社会认识论后果。
正文 · 原文
Abstract:Language-generating AI systems are no longer only objects of linguistic interaction: their outputs increasingly re-enter the communicative and institutional practices from which their training material was drawn. Drawing on social theory, social epistemology, and the philosophy of language, this article develops a sociotechnical account of that re-entry. We introduce recursive semantic normalization: the process through which machine-generated formulations, once recurrently taken up, evaluated, reused, and institutionally retained, participate in the reproduction and transformation of semantic regularities. Under the heading of technohybridism, we argue that the relevant unit of analysis is the hybrid semantic system, a recursively coupled configuration of human practices, computational generation, and institutional uptake. First, we distinguish the concept from neighbouring accounts, including model collapse, looping effects, machine habitus, machine culture, and the epistemology of AI testimony. Second, we develop an analytical model that separates generation, selection, uptake, and persistence and distinguishes machine-attributable change from change that would have occurred anyway. Third, we analyse uptake as routinized, institutionally diffused, and socially stratified practice and state conditions under which machine-derived regularities become norms. Fourth, we identify social-epistemic consequences: the laundering of provenance that weakens epistemic vigilance, the erosion of the cognitive diversity on which collective inquiry depends, and the narrowing of shared hermeneutical resources. An evidential ladder for empirical research follows. The account attributes no normative authority to machine outputs; what changes is the field within which human and institutional uptake operates.
| Subjects: | Computers and Society (cs.CY); Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC) |
| Cite as: | arXiv:2611.07984 [cs.CY] |
| (or arXiv:2611.07984v1 [cs.CY] for this version) | |
| https://doi.org/10.48550/arXiv.2611.07984 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Epameinondas Panagopoulos [view email]
[v1]
Thu, 5 Nov 2026 13:14:00 UTC (254 KB)
来源：arXiv cs.AI · arxiv.org