Governance Design of Collaborative Intelligence for Public Policy and Services

被引:0
作者
Chen, Yu-Che [1 ]
Liu, Helen K. [2 ]
Wang, Yi-Fan [2 ]
机构
[1] Univ Nebraska Omaha, Sch Publ Adm, Omaha, NE 68182 USA
[2] Natl Taiwan Univ, Dept Polit Sci, Taipei, Taiwan
来源
PROCEEDINGS OF THE 25TH ANNUAL INTERNATIONAL CONFERENCE ON DIGITAL GOVERNMENT RESEARCH, DGO 2024 | 2024年
关键词
Collaborative intelligence; governance; digital government; collaboration; ARTIFICIAL-INTELLIGENCE; FRAMEWORK; GOVERNMENT; NETWORKS; MANAGEMENT; DISCRETION; PARTICIPATION; LESSONS; TRUST; WORK;
D O I
10.1145/3657054.3657075
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The existing literature presents an opportunity to address the governance challenge of collaborative intelligence for public policy and services. This paper seizes the opportunity by developing a governance framework for public value creation. This proposed framework builds on a novel conceptualization of collaborative intelligence that advances collaboration as the governance goal and treats technology-enabled platforms as central to collaboration. This framework draws from the scholarly foundation of collaborative governance that focuses on rules and addresses levels and dynamics. Moreover, this framework integrates both technological and administrative dimensions. The important advancements of this proposed framework lie both in treating AI as an actor in governance structures and processes and in understanding the interactions between technologies and rules. Another important contribution is to integrate various mechanisms of collaborative public service production into this unified governance framework for collaborative intelligence.
引用
收藏
页码:146 / 155
页数:10
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