Mapping the Challenges of Artificial Intelligence in the Public Sector: Evidence from Public Healthcare

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Resumé

The nascent adoption of Artificial Intelligence (AI) in the public sector is being assessed in contradictory ways. But while there is increasing speculation about both its dangers and its benefits, there is very little empirical research to substantiate them. This study aims at mapping the challenges in the adoption of AI in the public sector as perceived by key stakeholders. Drawing on the theoretical lens of framing, we analyse a case of adoption of the AI system IBM Watson in public healthcare in China, to map how three groups of stakeholders (government policy-makers, hospital managers/doctors, and Information Technology (IT) firm managers) perceive the challenges of AI adoption in the public sector. Findings show that different stakeholders have diverse, and sometimes contradictory, framings of the challenges. We contribute to research by providing an empirical basis to claims of AI challenges in the public sector, and to practice by providing four sets of guidelines for the governance of AI adoption in the public sector.
OriginalsprogEngelsk
TidsskriftGovernment Information Quarterly
Vol/bind36
Udgave nummer2
Sider (fra-til)368-383
Antal sider16
ISSN0740-624X
DOI
StatusUdgivet - 2019

Bibliografisk note

Published online: 9. October 2018

Emneord

  • Artificial intelligence
  • Public sector
  • Healthcare
  • Challenges
  • Framing
  • China

Citer dette

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Mapping the Challenges of Artificial Intelligence in the Public Sector : Evidence from Public Healthcare. / Sun, Tara Qian; Medaglia, Rony.

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Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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