Developing a novel framework for institutional AI research and adoption

Introduction

Recent advances in artificial intelligence (AI) and machine learning (ML) hold the promise of improving government. Scholars in multiple domains have subsequently begun to conceptualize the different forms that AI systems may take, highlighting both their potential benefits and pitfalls. However, the literature remains fragmented, with researchers in social science disciplines like public administration and political science, and the fast-moving fields of AI, ML, and robotics, all developing concepts in relative isolation.

In this project, we seek to unify theoretical efforts across social and technical disciplines to encourage the operationalization of complex concepts, foster cross-disciplinary dialogue, and stimulate debate among those aiming to reshape public administration with AI.