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'.
Original language | English |
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Article number | 20170357 |
Journal | Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences |
Volume | 376 |
Issue number | 2128 |
DOIs | |
Publication status | Published - 2018 |
Bibliographical note
Funding Information:Data accessibility. The article has no supporting data. Authors’ contributions. All authors contributed equally to all stages of study design and drafting the manuscript. All authors gave final approval for publication. Competing interests. There are no competing interests. Funding. The study is funded by HEFCE Catalyst Fund #E10, and the MINECO CSO2016-80823-P fund.
Publisher Copyright:
© 2018 The Author(s) Published by the Royal Society. All rights reserved.
Keywords
- Artificial intelligence
- Cross-sector collaboration
- Data science
- Public policy
ASJC Scopus subject areas
- General Mathematics
- General Engineering
- General Physics and Astronomy