From Innovation to Accountability: Governing AI in Public Administration

• In Event: Governing AI – Structures, Ethics, and Public Administration

Abstract

Artificial Intelligence (AI) systems create accountability challenges in public administration, especially in criminal justice, healthcare, and social services. This study examines governance frameworks to promote transparency, public trust, and ethical oversight in AI-based decision-making. Using governance theory and policy diffusion analysis, the paper explores how states can implement multi-stakeholder governance models that align with democratic principles. Real-world examples, such as the COMPAS recidivism tool and ShotSpotter, highlight the need for explainability, continuous auditing, and cross-sector collaboration. International frameworks provide comparative insights to address accountability gaps and protect civil liberties. Findings emphasize the importance of adaptive governance to balance innovation and accountability in the public sector.

Author

• Pedro Robles, Pennsylvania State University
  Presenting Author