Claims that artificial general intelligence has already arrived and claims that it remains decades away are often defended from overlapping evidence. "AGI" lacks a single shared and stable referent and competing operationalizations can return different verdicts on the same system. This article treats that under-specification as a design and governance problem. Following Design Science Research Methodology, it develops DAF-AGI, a second-order conceptual artifact with two coupled components: five ordinal criteria for assessing the adjudicative fitness of candidate definitions and a structured governance audit of authorship, interest, certification, external verification and revision authority. The artifact is demonstrated on five prominent measurement families and one deflationary boundary position in a documented corpus and then stress-tested against a stylized strong arrival claim: that current generative systems constitute AGI because they outperform a well-educated adult on many cognitive tasks. On evidence from the cited 2024-2025 sources, the claim was certifiable only under a performance-based operationalization; capability-ontology, psychometric and skill-acquisition approaches did not certify it, the economic family remains indeterminate and the deflationary position refuses binary adjudication. The contribution is a novel integration and operationalization, not an empirical validation: independent application, inter-rater testing and author-external cases remain necessary. The paper further proposes definitional sovereignty as an enabling component of algorithmic sovereignty: the institutional capacity to contest, certify and revise imported technological categories under public accountability.

翻译：关于通用人工智能已经实现的论断与声称其仍需数十年发展的说法，常常基于重叠的证据进行辩护。"通用人工智能"缺乏单一共享且稳定的指涉对象，不同的操作化定义可能对同一系统得出不同结论。本文将这种规范不足问题视为设计与治理挑战。遵循设计科学研究方法论，本文开发了DAF-AGI这一二阶概念性人工制品，包含两个耦合组件：用于评估候选定义裁定适配性的五个序数标准，以及对作者身份、利益关系、认证、外部验证和修订权限的结构化治理审计。该人工制品在文献语料库中针对五个主流测量体系和一个通缩性边界立场进行展示，随后通过一个典型强实现论断进行压力测试：即当前生成式系统构成通用人工智能，因其在多项认知任务上超越受过良好教育的成年人。根据2024-2025年引证来源的证据，该论断仅在基于绩效的操作化定义下可被认证；能力本体论、心理测量学和技能习得方法均未认证该论断，经济学测量体系仍待定，而通缩性立场拒绝二元裁定。本文贡献在于新颖的整合与操作化定义，而非实证验证：仍需独立应用、评分者间检验及作者外部案例。本文进一步提出定义主权作为算法主权的使能组件：即在公共问责制下对输入技术类别进行质疑、认证和修订的制度能力。