AI Public Value Creation: Data Encoding, Aggregation, and Algorithmic Computation
研究AI系统如何通过数据编码、聚合和算法计算重塑公共价值创造，以秘鲁福利定位系统为例揭示算法锁定效应，使公共价值脱离民主协商。
ABSTRACT AI systems in public administration challenge the premise that value creation arises from managers' strategic mediation among the vertices of Moore's strategic triangle: Public value, legitimacy, and operational capacity. AI imposes new logics that reshape vertices and their interaction dynamics. Critically, these transformations become entrenched through what we term algorithmic public value lock‐in: the crystallization of contingent value definitions into durable technical infrastructures resistant to democratic revision. Examining Peru's SISFOH, an algorithmic welfare‐targeting system, we reveal three interconnected shifts: data management recasts legitimacy as computational objectivity; standardized classifications redefine public value in narrow, quantifiable terms; and algorithmic processing transforms operational capacity from adaptive discretion to rigid execution. Together, these shifts produce lock‐in effects that potentially insulate public value creation from political negotiation.