research-article

AI innovation for advancing public service: The case of China's first Administrative Approval Bureau

Authors:

Xian GaoAuthors Info & Claims

dg.o '19: Proceedings of the 20th Annual International Conference on Digital Government Research

Pages 100 - 108

https://doi.org/10.1145/3325112.3325243

Published: 18 June 2019 Publication History

Abstract

The adoption of artificial intelligence (AI) is becoming increasingly popular in the public sector, but there is a severe lack of relevant theoretical research. The government of China also has high expectations for AI innovation. This paper proposes a four-stage model for AI development in public sectors to help public administrators think about the impact of AI on their organizations. We empirically investigate a case of AI adoption for delivering public services in local government in China. The findings improve our understanding of not only the status of AI innovation but also the factors motivating and challenging public sectors that are intending to adopt AI. Given that AI application in public sectors is still in its infancy, this study provides us with an opportunity to conduct longitudinal tracking of AI innovation in local government in China. This could help public administrators to think more comprehensively about the changes and transformations that AI may bring to the public sector.

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Cited By

Cuillerier M(2024)Digital Public Intrapreneurship and Digital Public EntrepreneurshipEmerging Developments and Technologies in Digital Government10.4018/979-8-3693-2363-2.ch013(243-279)Online publication date: 26-Apr-2024
https://doi.org/10.4018/979-8-3693-2363-2.ch013
Tao LWan JWen B(2024)The effects of artificial intelligence and victims’ deservingness information on citizens’ blame attribution towards administrative errorsPublic Management Review10.1080/14719037.2024.2411632(1-21)Online publication date: 7-Oct-2024
https://doi.org/10.1080/14719037.2024.2411632
Madan RAshok M(2024)Making Sense of AI Benefits: A Mixed-method Study in Canadian Public AdministrationInformation Systems Frontiers10.1007/s10796-024-10475-0Online publication date: 21-Feb-2024
https://doi.org/10.1007/s10796-024-10475-0
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dg.o '19: Proceedings of the 20th Annual International Conference on Digital Government Research

June 2019

533 pages

ISBN:9781450372046

DOI:10.1145/3325112

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 18 June 2019

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dg.o 2019

dg.o 2019: 20th Annual International Conference on Digital Government Research

June 18 - 20, 2019

Dubai, United Arab Emirates

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Overall Acceptance Rate 150 of 271 submissions, 55%

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Cited By

Cuillerier M(2024)Digital Public Intrapreneurship and Digital Public EntrepreneurshipEmerging Developments and Technologies in Digital Government10.4018/979-8-3693-2363-2.ch013(243-279)Online publication date: 26-Apr-2024
https://doi.org/10.4018/979-8-3693-2363-2.ch013
Tao LWan JWen B(2024)The effects of artificial intelligence and victims’ deservingness information on citizens’ blame attribution towards administrative errorsPublic Management Review10.1080/14719037.2024.2411632(1-21)Online publication date: 7-Oct-2024
https://doi.org/10.1080/14719037.2024.2411632
Madan RAshok M(2024)Making Sense of AI Benefits: A Mixed-method Study in Canadian Public AdministrationInformation Systems Frontiers10.1007/s10796-024-10475-0Online publication date: 21-Feb-2024
https://doi.org/10.1007/s10796-024-10475-0
Todaro DTodaro D(2024)Ambition, Capacity, Reality, Insights, and ProspectsThe Use of Artificial Intelligence in the Public Sector in Shanghai10.1007/978-981-97-0597-9_6(555-615)Online publication date: 22-Mar-2024
https://doi.org/10.1007/978-981-97-0597-9_6
Todaro DTodaro D(2024)Public Sector AI Applications in ShanghaiThe Use of Artificial Intelligence in the Public Sector in Shanghai10.1007/978-981-97-0597-9_5(295-554)Online publication date: 22-Mar-2024
https://doi.org/10.1007/978-981-97-0597-9_5
Todaro DTodaro D(2024)Artificial Intelligence in the Public Sector in Shanghai: Conceptualization, Context, and CapacityThe Use of Artificial Intelligence in the Public Sector in Shanghai10.1007/978-981-97-0597-9_2(19-150)Online publication date: 22-Mar-2024
https://doi.org/10.1007/978-981-97-0597-9_2
Sirait EZuiderwijk AJanssen M(2024)The Readiness of the Public Sector to Implement AI: A Government-Specific FrameworkElectronic Government10.1007/978-3-031-70274-7_19(302-316)Online publication date: 3-Sep-2024
https://dl.acm.org/doi/10.1007/978-3-031-70274-7_19
Dreyling RTammet TPappel I(2022)Artificial Intelligence Use in e-Government Services: A Systematic Interdisciplinary Literature ReviewFuture Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications10.1007/978-981-19-8069-5_37(547-559)Online publication date: 20-Nov-2022
https://doi.org/10.1007/978-981-19-8069-5_37
Chohan SHu GKhan APasha ASheikh M(2021)Design and behavior science in government-to-citizens cognitive-communication: a study towards an inclusive frameworkTransforming Government: People, Process and Policy10.1108/TG-05-2020-007915:4(532-549)Online publication date: 15-Feb-2021
https://doi.org/10.1108/TG-05-2020-0079

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