AI 中文总结
本文针对生成式AI委托的治理问题，区分指定式与迭代式委托路径，利用Anthropic经济指数数据发现工作相关导向与指定式委托正相关，且迭代响应在不同使用模式间存在差异。
AI 中文摘要
将认知操作委托给生成式人工智能会重新分配执行权，并引发治理问题：人类对任务的引导应处于何处。我们区分两种路径：指定式委托将引导置于执行之前，通过指令、约束或标准来限定任务；迭代式协同生产则将引导置于生产过程中，通过干预来修正或重定向临时输出。为考察这两种路径，我们使用了Anthropic经济指数（Anthropic Economic Index）2026年4月和5月的月度汇总数据单元。该指数区分两种使用模式：1P API对应通过Anthropic API的直接流量，this http URL则结合了Chat和Cowork的活动。在此基础上，我们检验人机交互的工作相关导向是否与每种模式下更多的指定式委托相关，以及this http URL模式下迭代特征的增长是否大于1P API模式。主要分析使用0级O*NET任务，估算当符合条件的记录将个人使用的10个百分点重新分配给工作相关使用时，两种特征的变化情况。迭代比较限于在两种模式中均被观测到且符合条件的1411个节点-月对。结果显示，1P API模式下指定式委托增加2.76个百分点（95%置信区间：[2.30, 3.22]），this http URL模式下增加1.45个百分点（95%置信区间：[0.93, 1.97]）；在共同支撑下，1P API模式下迭代式协同生产变化-0.30个百分点，this http URL模式下变化0.15个百分点，模式间差异为0.45个百分点（95%置信区间：[0.15, 0.75]）。这些发现表明，工作相关导向与更强的前期人类引导痕迹相关，且可观测的迭代响应因使用模式而异。本文将关注点从AI执行了多少转向人类引导何时留下可观测痕迹。
英文摘要
Delegating cognitive operations to generative artificial intelligence redistributes execution and raises a governance problem: where human direction of the task remains. We distinguish two routes. Specified delegation places that direction before execution, through instructions, constraints, or criteria that delimit the task. Iterative coproduction places it during production, through interventions that correct or redirect provisional outputs. To examine both routes, we use aggregate monthly cells from the Anthropic Economic Index for April and May 2026. The AEI distinguishes two modes of use: 1P API, which corresponds to direct traffic through Anthropic's API, and Claude.ai, which combines activity from Chat and Cowork. On this basis, we test whether a stronger work-related orientation of human-AI interaction is associated with more specified delegation within each mode and whether the increase in the iterative profile is greater in Claude.ai than in 1P API. The main analysis uses level-0 O*NET tasks and estimates how both profiles change when an eligible record reallocates ten percentage points from personal use to work-related use. The iterative comparison is restricted to 1,411 node-month pairs observed and eligible in both modes. Specified delegation increases by 2.76 points in 1P API (95% CI: [2.30, 3.22]) and by 1.45 in Claude.ai (95% CI: [0.93, 1.97]). On the common support, iterative coproduction changes by-0.30 points in 1P API and by 0.15 in Claude.ai, yielding a between-mode difference of 0.45 points (95% CI: [0.15, 0.75]). These findings show that work-related orien tation is associated with stronger traces of prior human direction and that the observable iterative response varies across modes of use. The article shifts attention from how much the AI executes to when human direction leaves observable traces.
Comments19 pages, 4 figures
