Catching up with AI: Pushing toward a cohesive governance framework

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. 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.