Public Value-Driven Assessment of Trustworthy AI in the Public Sector: A Review

被引:0
作者
Bagheri, Samaneh [1 ]
Dirksen, Vanessa [1 ]
机构
[1] Open Univ Netherlands, Heerlen, Netherlands
来源
DISRUPTIVE INNOVATION IN A DIGITALLY CONNECTED HEALTHY WORLD, I3E 2024 | 2024年 / 14907卷
关键词
Trustworthy AI; Public Value; Impact Assessment; Literature Review; Public Sector; ARTIFICIAL-INTELLIGENCE; DISCRETION;
D O I
10.1007/978-3-031-72234-9_1
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Despite the potential benefits of Artificial Intelligence (AI) to enhance public services, the implementation of AI in the public sector is still limited. In this work, we review the trustworthy AI literature in the public sector and provide insights into the prevailing challenges of creating and sustaining public value with AI. Findings show that research on public value-driven AI assessment is still in its infancy. It lacks an overall critical perspective on human-centric AI in general and citizen engagement in particular. Recommendations are given for future research on conducting in-depth empirical studies geared towards measuring and operationalizing ethical and societal components of AI assessment frameworks in the public sector, specifically aiming at the creation of public value.
引用
收藏
页码:3 / 13
页数:11
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