跳过正文

Polihot

AI Public Value Creation: Data Encoding, Aggregation, and Algorithmic Computation

PA — 2026-06-08 Original AI Public Value Creation: Data Encoding, Aggregation, and Algorithmic Computation Antonio Cordella, Francesco Gualdi Abstract 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.

Negativity trumps source: exploring the perceptions of AI-advice among public officials

PMR — pp. 1-28 2026-06-07 Original Negativity trumps source: exploring the perceptions of AI-advice among public officials Yuyan Cao, Xin Liang Abstract The advancement of artificial intelligence (AI) may renew our understanding of evidence-based policymaking. Grounded in motivated reasoning and negativity bias literature, this study adopts a 2 × 2 survey experiment to explore how advice source and valence affect public officials’ trust and policy preference. Findings demonstrate that advice containing negative result exerts disproportionate influence. Moreover, when advice aligns with public officials’ prior policy beliefs, negativity bias amplifies their preference. These findings highlight how cognitive biases impede the public officials’ interpretation to policy advice.

Risk and Responsibility: Climate Disasters and IMF Conditionality

JOP — 2026-06-05 Original Risk and Responsibility: Climate Disasters and IMF Conditionality Sabrina B. Arias, Richard Clark Abstract (原文未提供摘要) 中文 风险与责任:气候灾害与国际货币基金组织条件性 Sabrina B. Arias, Richard Clark 摘要 原文未提供摘要 关键词 气候灾害、国际货币基金组织、条件性、风险、责任、国际政治经济学

Representation Behind Closed Doors: The Effect of Electing Women Mayors on Domestic Violence

JOP — 2026-06-05 Original Representation Behind Closed Doors: The Effect of Electing Women Mayors on Domestic Violence Maya Dalton, Giancarlo Visconti Abstract (原文未提供摘要) 中文 闭门之中的代表:选举女性市长对家庭暴力的影响 Maya Dalton, Giancarlo Visconti