Managing Artificial Intelligence Deployment in the Public Sector

被引：13

作者：

Campion, Averill ^{[1
]}

Hernandez, Mila-Gasco ^{[2
,3
]}

Jankin, Slava Mikhaylov ^{[4
,5
]}

Esteve, Marc ^{[1
,6
,7
]}

机构：

[1] Esade Ramon Llull Univ, Barcelona, Spain

[2] SUNY Albany, Dept Publ Adm & Policy, Albany, NY 12222 USA

[3] SUNY Albany, Ctr Technol Govt, Albany, NY 12222 USA

[4] Hertie Sch, Data Sci & Publ Policy, Berlin, Germany

[5] Hertie Sch, Data Sci Lab, Berlin, Germany

[6] UCL, Sch Publ Policy, London, England

[7] UCL, Publ Adm Program, Publ Adm & Management Dept, London, England

来源：

COMPUTER | 2020年 / 53卷 / 10期

关键词：

D O I：

10.1109/MC.2020.2995644

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：28 / 37

页数：10

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