Practical Lessons for Government AI Projects

Godofredo Ramizo

No ka5vd, SocArXiv from Center for Open Science

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.

Date: 2021-04-18
New Economics Papers: this item is included in nep-ppm and nep-sea
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
https://osf.io/download/6092c4ed5533b403f4e25b1a/

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:ka5vd

DOI: 10.31219/osf.io/ka5vd

Access Statistics for this paper

More papers in SocArXiv from Center for Open Science
Bibliographic data for series maintained by OSF ().