학술논문

Managing Artificial Intelligence Deployment in the Public Sector
Document Type
Periodical
Source
Computer. 53(10):28-37 Oct, 2020
Subject
Computing and Processing
Artificial intelligence
Government
Urban areas
Interviews
Resistance
Stakeholders
Language
ISSN
0018-9162
1558-0814
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.