AI and Local Government Transformation: Institutional Capacity, Organizational Arrangements, and Democratic Practices

Editors

  • Seulki Lee-Geiller, University at Albany, State University of New York
  • Mila Gascó-Hernández, University at Albany, State University of New York

Description

This special issue examines how artificial intelligence becomes embedded and institutionalized within local governments and the consequent transformations in governance. While AI scholarship typically focuses on national initiatives or public administration broadly, local governments have distinctive conditions that warrant focused attention. The issue seeks to understand not just adoption and implementation of AI systems, but how AI reshapes everyday administrative practice, institutional capabilities, organizational structures, and democratic engagement.

The special issue addresses three interconnected dimensions. First, institutional capacity examines how local governments build lasting infrastructure, expertise, and governance structures to support AI sustainably. Second, organizational arrangements explore how AI influences administrative routines, professional roles, and authority distribution. Third, democratic practices investigate how citizens participate in and influence AI integration decisions. The issue welcomes diverse methodological approaches and comparative research across different municipalities and policy sectors.

Potential topics

  • How local governments build and sustain infrastructure, expertise, learning systems, governance arrangements, and collaborative capacity to support AI over time
  • What enduring capabilities allow local governments to institutionalize AI
  • How AI integration affects the capacity of local governments to carry out their main responsibilities
  • How local governments learn from pilots, failures, and unintended outcomes
  • How local governments address gaps in technical and professional expertise under resource constraints
  • How AI changes administrative routines, workflows, and professional roles
  • How authority, expertise, discretion, and responsibility are reorganized around AI
  • Accountability and responsibility when decisions are jointly produced by officials and AI systems
  • How local government uses of AI are authorized, explained, scrutinized, and revised
  • How AI integration changes interactions between local governments and citizens
  • How local governments involve residents in developing AI guidelines and governance frameworks
  • How public feedback and community concerns regarding AI-assisted public services are incorporated into AI institutionalization