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Managing Artificial Intelligence Deployment in the Public Sector

Campion, A; Hernandez, M-G; Mikhaylov Jankin, S; Esteve, M; (2020) Managing Artificial Intelligence Deployment in the Public Sector. Computer , 53 (10) pp. 28-37. 10.1109/mc.2020.2995644. Green open access

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Abstract

There is a scarcity of empirical evidence surrounding the challenges and approaches to artificial intelligence deployment. Using data analytics, our study moves from speculation to gathering evidence. Our findings show that most challenges arise during implementation and relate to skills, culture, and resistance to share information driven by data challenges.

Type: Article
Title: Managing Artificial Intelligence Deployment in the Public Sector
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/mc.2020.2995644
Publisher version: https://doi.org/10.1109/mc.2020.2995644
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Political Science
URI: https://discovery.ucl.ac.uk/id/eprint/10112223
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