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AI for the Public Sector: Opportunities and challenges of cross-sector collaboration

Mikhaylov, Slava VJ and Esteve, Marc and Campion, Averill (2018) 'AI for the Public Sector: Opportunities and challenges of cross-sector collaboration.' Philosophical Transactions A: Mathematical, Physical and Engineering Sciences. ISSN 1364-503X (In Press)

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Abstract

Public sector organisations 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 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 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 and challenges from AI for public sector. Finally, we propose a series of strategies to successfully manage these cross-sectoral collaborations.

Item Type: Article
Uncontrolled Keywords: cross - sector collaboration, data science, artificial intelligence, public policy
Subjects: J Political Science > JA Political science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Divisions: Faculty of Social Sciences > Government, Department of
Depositing User: Elements
Date Deposited: 05 Sep 2018 12:29
Last Modified: 05 Sep 2018 13:15
URI: http://repository.essex.ac.uk/id/eprint/22466

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