AI in the public sector: fundamental operational questions and how to address them

Muiris MacCarthaigh*, Deepak P., Stanley Simoes

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract

The use of advanced technological tools are increasingly pervasive across public sectors globally. Of particular interest to practitioners and scholars is the use of algorithmic or machine learning technology in the performance of not just automated tasks, but actions that require decisions and that have social significance. However, important questions arise which are important to ensuring safe and effective usage of AI within the public sector, which has an obligation to put people and society before financial considerations. In this contribution, we consider the growing use of AI in three policy domains which involve high levels of direct human engagement with public services and public servants - public health, policing and immigration. Drawing on practice-based findings, we thematically examine recent developments in each case before turning to some of the challenges arising. In a concluding section we suggest some recommendations for addressing them.
Original languageEnglish
Title of host publicationResearch Handbook on Public Management and Artificial Intelligence
EditorsYannis Charalabidis, Rony Medaglia, Colin van Noordt
PublisherEdward Elgar Publishing Ltd
Chapter3
Pages45-61
Number of pages16
ISBN (Print)9781802207330
Publication statusPublished - Feb 2024

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