AI时代需将真人认证视为劳动基础设施,以保障人类价值。
Human-Provenance Verification should be Treated as Labor Infrastructure in AI-Saturated Markets
- 用可信验证机制确保人类参与是成果的核心要素。
- 中层知识工作被AI替代,形成高/低两端价值分化。
- 适合关注劳动未来、数字治理与人机协作的研究者。
我们认为,在人工智能高度渗透的市场中,可能催生一种维布伦商品溢价,即人类来源溢价,因此人工智能治理应将人类来源验证视为劳动力基础设施。生成式与代理型AI系统降低了大量标准化认知、创造与协调任务的成本,削弱了支撑中等层次知识工作的稀缺性溢价。我们提出三点主张:首先,AI通过低成本可扩展的合成替代品压缩了标准化中层劳动的价值,掏空了当前归类为知识工作的技能分布中间部分;其次,这种压缩使对人类劳动的需求重新转向具有可见人类特征的工作,我们称之为表演性人类性,包括关系性存在、审美来源与问责性三类;第三,由于这些溢价依赖可信验证,人工智能治理应将人类来源系统视作劳动力基础设施,而非奢侈品般的真伪标签。为评估人机协同工作,我们提出‘构成性人类存在’作为标准:当人类判断、注意力、问责、署名或关系参与不是输出的附带因素,而是购买对象的本质组成部分时,人类劳动才保有溢价价值。
原文摘要 · Abstract (English)
We argue that AI-saturated markets are likely to create Veblen-good premiums, which we term human-provenance premiums, for verified human presence, and hence AI governance should treat human-provenance verification as labor infrastructure. Generative and agentic AI systems lower the cost of many standardized cognitive, creative, and coordination tasks, weakening the scarcity premiums that have supported much middle-tier knowledge work. We argue that this pressure may produce an asymmetric barbell-shaped structure of value capture in advanced economies: high-volume synthetic production controlled by owners of AI infrastructure at one pole, and scarce, high-status human labor valued for verified human presence at the other. We advance three claims. First, AI compresses the value of standardized middle-tier labor by making good-enough synthetic substitutes scalable at low marginal cost, hollowing out the middle of the skill distribution currently categorized by knowledge work. Second, this compression reallocates demand for human labor toward work valued for its visible human character. We term this performative humanity and distinguish three forms of labor: relational presence, aesthetic provenance, and accountability. Third, as these premiums depend on credible verification, AI governance should treat human-provenance systems as labor infrastructure rather than as luxury authenticity labels. To evaluate hybrid human-AI work, we propose constitutive human presence as the relevant standard: human labor retains premium value when human judgment, attention, accountability, authorship, or relational participation is not incidental to the output but constitutive of what is being purchased.
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