Catching up with AI: Pushing toward a cohesive governance framework

IF 1.4 Q2 POLITICAL SCIENCE Politics & Policy Pub Date : 2023-05-15 DOI:10.1111/polp.12529

Pedro Robles, Daniel J. Mallinson

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引用次数: 4

Abstract

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.

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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追赶人工智能：推进有凝聚力的治理框架

人工智能通过增强公共服务，包括管理大数据和信息技术，为公共管理做出贡献。人工智能目前被用于为美国公民贡献价值的电子政务服务，包括提供个性化的客户体验，例如链接个性化数据和处理个人援助请求。此外，人工智能可以接管冗余的日常任务，如数字信息供应和提供服务。然而，在美国，没有管理人工智能的总体政策。不一致的公共政策导致公众对人工智能的不信任、对隐私侵犯的担忧以及对服务提供不公平的担忧。这篇综述文章讨论了人工智能政府应用的快速出现，并对所提出的人工智能治理模型进行了系统综述。然后，它概述了它们的共同组成部分，以建立一个连贯但适应性强的人工智能治理框架，并为政策和行政研究人员提出了研究议程。相关文章Glen，Carol M.2014。“互联网治理：网络空间的属地化？”；政策42（5）：635-57。https://doi.org/10.1111/polp.12093.Carol M.Glen，2021。《全球网络安全中的规范创业》；政策49（5）：1121-45。https://doi.org/10.1111/polp.12430.曾、京汉、蒂姆·史蒂文斯和陈亚茹。2017，“中国的全球网络治理解决方案：打开‘互联网主权’的国内话语。”；政策45（3）：432–64。https://doi.org/10.1111/polp.12202.

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来源期刊

Politics & Policy POLITICAL SCIENCE-

CiteScore

2.50

自引率

23.10%

发文量