Paper Info
Title
Artificial Intelligence for the Public Sector: Opportunities and challenges of cross-sector collaboration.
Abstract
Public sector organizations are increasingly interested in using data science and artificial intelligence capabilities to deliver policy and generate efficiencies in high-uncertainty environments. The long-term success of data science and artificial intelligence (AI) in the public sector relies on effectively embedding it into delivery solutions for policy implementation. However, governments cannot do this integration of AI into public service delivery on their own. The UK Government Industrial Strategy is clear that delivering on the AI grand challenge requires collaboration between universities and the public and private sectors. This cross-sectoral collaborative approach is the norm in applied AI centres of excellence around the world. Despite their popularity, cross-sector collaborations entail serious management challenges that hinder their success. In this article we discuss the opportunities for and challenges of AI for the public sector. Finally, we propose a series of strategies to successfully manage these cross-sectoral collaborations. This article is part of a discussion meeting issue 'The growing ubiquity of algorithms in society: implications, impacts and innovations'.
Year
DOI
Venue
2018
10.1098/rsta.2017.0357
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
Keywords
Field
DocType
cross-sector collaboration,data science,artificial intelligence,public policy
Public service,Private sector,Popularity,Norm (social),Public policy,Artificial intelligence,Public sector,Excellence,Government,Physics
Journal
Volume
Issue
ISSN
376
2128
1364-503X
Citations 
PageRank 
References 
0
0.34
1
Authors
3
Name
Order
Citations
PageRank
slava mikhaylov123.19
Marc Esteve201.01
Averill Campion300.34