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Practical Lessons for Government AI Projects

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  • Ramizo, Godofredo Jr

Abstract

Governments around the world are launching projects that embed artificial intelligence (AI) in the delivery of public services. How can government officials navigate the complexities of AI projects and deliver successful outcomes? Using a review of the existing literature and interviews with senior government officials from Hong Kong, Malaysia, and Singapore who have worked on Smart City and similar AI-driven projects, this paper demonstrates the diversity of government AI projects and identifies practical lessons that help safeguard public interest. I make two contributions. First, I show that we can classify government AI projects based on their level of importance to government functions and the level of organisational resources available to them. These two dimensions result in four types of AI projects, each with its own risks and appropriate strategies. Second, I propose five general lessons for government AI projects in any field, and outline specific measures appropriate to each of the aforementioned types of AI projects.

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  • Ramizo, Godofredo Jr, 2021. "Practical Lessons for Government AI Projects," SocArXiv ka5vd, Center for Open Science.
    • Handle: RePEc:osf:socarx:ka5vd
    DOI: 10.31219/osf.io/ka5vd
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    References listed on IDEAS

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    1. Helen Margetts & Cosmina Dorobantu, 2019. "Rethink government with AI," Nature, Nature, vol. 568(7751), pages 163-165, April.
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    3. Jordi Rosell, 2023. "Green Public Procurement in Spain," Hacienda Pública Española / Review of Public Economics, IEF, vol. 245(1), pages 95-117, June.
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    6. Javanshir, Nima & Syri, Sanna & Hiltunen, Pauli, 2024. "The risks of electrified district heating in Finland's cold climate," Renewable and Sustainable Energy Reviews, Elsevier, vol. 202(C).
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