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.
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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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