Algorithmic Bureaucracy: Managing Competence, Complexity, and Problem Solving in the Age of Artificial Intelligence

10 Pages Posted: 14 Feb 2019

See all articles by Thomas M. Vogl

Thomas M. Vogl

University of Oxford - Oxford Internet Institute

Cathrine Seidelin

IT University of Copenhagen

Bharath Ganesh

University of Oxford - Oxford Internet Institute

Jonathan Bright

University of Oxford - Oxford Internet Institute

Date Written: February 1, 2019

Abstract

In recent years, local government is undergoing changes which are strongly influenced by the growing digitization of governmental operations. Key features of Digital Era Governance (DEG) appear to be displacing features of the New Public Management (NPM) and are also challenging some underlying aspects of Weberian bureaucracy in public administration. In this paper, we expand on the concepts in DEG and its successor, Essentially Digital Government (EDGE), by introducing the concept of Algorithmic Bureaucracy, which looks at the impacts of Artificial Intelligence (AI) on rationalization and the socio-technical nature of public administration. We report on a mixed-method study, which focused on how the growth of data science is changing the ways that local government works in the UK. Special emphasis is put on how algorithms can build citizen and administrator competence and deal with complexity. Algorithmic bureaucracy, like traditional bureaucracy, is impartial in its application, but can be predictably sensitive to context. Society needs to determine the ends to which it is put and how to assign accountability in this context. We find that algorithmic bureaucracy is in its infancy in local government, so there is space to develop an appropriate ethical framework to harness the technology and enhance social problem solving.

Keywords: Algorithmic Bureaucracy, Digital Era Governance, Local Government, Socio-Technical Systems, Data Science

Suggested Citation

Vogl, Thomas M. and Seidelin, Cathrine and Ganesh, Bharath and Bright, Jonathan, Algorithmic Bureaucracy: Managing Competence, Complexity, and Problem Solving in the Age of Artificial Intelligence (February 1, 2019). Available at SSRN: https://ssrn.com/abstract=3327804 or http://dx.doi.org/10.2139/ssrn.3327804

Thomas M. Vogl (Contact Author)

University of Oxford - Oxford Internet Institute ( email )

1 St. Giles
University of Oxford
Oxford, Oxfordshire OX1 3JS
United Kingdom

Cathrine Seidelin

IT University of Copenhagen ( email )

Denmark

Bharath Ganesh

University of Oxford - Oxford Internet Institute ( email )

1 St. Giles
University of Oxford
Oxford OX1 3PG Oxfordshire, Oxfordshire OX1 3JS
United Kingdom

Jonathan Bright

University of Oxford - Oxford Internet Institute ( email )

1 St. Giles
University of Oxford
Oxford OX1 3PG Oxfordshire, Oxfordshire OX1 3JS
United Kingdom

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