AI-driven public services and the privacy paradox: do citizens really care about their privacy?

Willems, Jürgen; Schmid, Moritz J.; Vanderelst, Dieter; Vogel, Dominik; Ebinger, Falk

doi:10.1080/14719037.2022.2063934

Cited by 25 publications

(10 citation statements)

References 73 publications

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“…Public agencies continue to search for modern technologies, including AI, that can assist innovation and speed information processing. However, the benefits of easy access, automation, and information processing come with a cost: losses of privacy and data protection (Kokolakis, 2017; Willems et al, 2022). Government agencies cannot guarantee with a high degree of certainty that individual information will not be compromised (Wirtz et al, 2020).…”

Section: Toward a Unified Ai Governance Frameworkmentioning

confidence: 99%

“…Government agencies cannot guarantee with a high degree of certainty that individual information will not be compromised (Wirtz et al, 2020). In addition, consumer privacy and data protection experts have raised alarms about the security gap between personal devices, AI capabilities, and how individual information is processed (Willems et al, 2022). This is particularly the case when citizens use a personal tablet, mobile phone, or public computer terminal to access government services and personally identifiable information is left behind (Du & Xie, 2021).…”

Section: Toward a Unified Ai Governance Frameworkmentioning

confidence: 99%

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Catching up with AI: Pushing toward a cohesive governance framework

Robles

Mallinson

2023

Politics & Policy

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Artificial Intelligence (AI) contributes to public administration by augmenting public services, including managing big data and information technology. AI is currently utilized in e‐government services that contribute value to American citizens, including providing a personalized customer experience, such as linking individualized data and processing individual assistance requests. Furthermore, AI can take over redundant routine tasks such as digital information provisioning and delivering services. However, in the United States, there is no overarching policy that governs AI. Inconsistent public policy contributes to public distrust of AI, concerns about privacy intrusion, and fears of inequitable service delivery. This review article discusses the rapid emergence of government applications of AI and provides a systematic review of proposed AI governance models. It then outlines their common components for the purpose of building a coherent, yet adaptable, AI Governance Framework and proposes a research agenda for policy and administration researchers. Related Articles Glen, Carol M. 2014. “Internet Governance: Territorializing Cyberspace?” Politics & Policy 42(5): 635–57. https://doi.org/10.1111/polp.12093. Glen, Carol M. 2021. “Norm Entrepreneurship in Global Cybersecurity.” Politics & Policy 49(5): 1121–45. https://doi.org/10.1111/polp.12430. Zeng, Jinghan, Tim Stevens, and Yaru Chen. 2017. “China's Solution to Global Cyber Governance: Unpacking the Domestic Discourse of ‘Internet Sovereignty.’” Politics & Policy 45(3): 432–64. https://doi.org/10.1111/polp.12202.

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Section: Toward a Unified Ai Governance Frameworkmentioning

confidence: 99%

Section: Toward a Unified Ai Governance Frameworkmentioning

confidence: 99%

Catching up with AI: Pushing toward a cohesive governance framework

Robles

Mallinson

2023

Politics & Policy

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“…These challenges raise real issues for the theory and practice of public service management and some work has already begun to explore them (e.g. Willems et al, 2022;Wirtz & Muller, 2019). However, further work is required.…”

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confidence: 99%

Digital transformation, artificial intelligence and effective public services: challenges and opportunities

Osborne

Cucciniello

Nasi

et al. 2022

GPPG

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“…As for the outside, many customers are wary of AI, believing that their information should not be collected without assurances that it will not be abused. Though Willems J et al(2022) thought that the privacy concerns are maybe somewhat overrated, cause many people were not sensitive to the amount of personal information they had to share 30 . But the more likely reason is that people don't exactly know whether and to what degree they should be concerned about privacy in their everyday lives, where there are countless compromises between Internet demands and private details.…”

Section: Challenges Of Ai Applications In Enterprise Management (1) S...mentioning

confidence: 99%

Artificial intelligence opportunities and challenges for enterprise management: a review and research hotspot

Liang

2022

International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022)

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Artificial intelligence(AI) is being integrated into enterprises' strategy for improving management performance, while many managers do not know the focus of AI research, nor do they know what specific aspects AI is applicable to and the possible impact. The main purpose of this research is to analyze the change that brought by technologies based on AI on enterprise, to determine the compound effect on enterprise management reform. This paper proposes a framework for fully understanding the opportunities and challenges on enterprise management reform brought by AI to help companies break down their prejudices about AI. Through bibliometrics method and literature review, we find that AI applications can promote the beneficial changes of the three relationships in enterprise management, including the relationship between enterprises and customers, superiors and subordinates, as well as the relationship between traditional production factors and data factors. Meanwhile, enterprises may face difficulties in security and privacy, law and ethics, and culture and talent. All in all, enterprise management will embrace the opportunities of innovation in theory and practice in the era of AI if we can effectively prevent or deal with the possible problems.

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AI-driven public services and the privacy paradox: do citizens really care about their privacy?

Cited by 25 publications

References 73 publications

Catching up with AI: Pushing toward a cohesive governance framework

Catching up with AI: Pushing toward a cohesive governance framework

Digital transformation, artificial intelligence and effective public services: challenges and opportunities

Artificial intelligence opportunities and challenges for enterprise management: a review and research hotspot

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