Heather Broomfield

Ekstern stipendiat

Heather Broomfield is employed as a Senior Adviser in the Norwegian Agency for Public Management and eGovernment (Difi) and is working on her doctoral thesis "Government by Algorithm - Protecting Democratic Values in the Deployment of Artificial Intelligence by the Public Sector" at UIO, IOR.

The project is financed 50% by the Norwegian Research Council under the public sector Ph.D programme and 50% from Difi.

Her goal is to finish in 2023.

Abstract of her project theises

The Norwegian public sector enjoys high levels of trust from citizens - built upon a system where democratic values of freedom, equality and transparency are paramount. The sector is undergoing a profound digital transformation. A central pillar of this transformation is the realisation of a data driven Government, which the OECD has identified as an apparently untapped opportunity, given Norways’ highly digitised status. Tapping this opportunity is now clearly on the agenda for Government, with an an increasingly evident sense of urgency.

The adoption of Artificial Intelligence(AI) within the private sector exemplifies that whilst the benefits are potentially considerable, it is increasingly clear that not all applications nor indeed the consequences are wholly desirable. Maximising the benefits and avoiding the pitfalls here has brought the challenge of algorithmic governance to the fore. Whilst the public sector shares many governance challenges with the private sector, ethical and conscientious implementation of AI is more complex. Ensuring that democratic values are maintained, whilst reaping the benefits of ‘data driven government’ and herein the adoption of AI in the public sector sphere requires deep deliberation.

The main objective of this project is to critically interrogate the potential benefits and pitfalls of Artificial Intelligence deployment in the Norwegian public sector and consider what appropriate governance measures could be employed, to ensure the realisation of a responsible data driven Government.



  • Broomfield, Heather & Wilson, Christopher Ben (2022). Learning how to do AI: managing organizational boundaries in an intergovernmental learning forum. Public Management Review. ISSN 1471-9037. s. 1–21. doi: 10.1080/14719037.2022.2055119.
  • Broomfield, Heather & Reutter, Lisa Marie (2022). In search of the citizen in the datafication of public administration. Big Data and Society. ISSN 2053-9517. 9(1), s. 1–14. doi: 10.1177/20539517221089302. Fulltekst i vitenarkiv
  • Broomfield, Heather & Reutter, Lisa Marie (2021). Towards a Data-Driven Public Administration: An Empirical Analysis of Nascent Phase Implementation. Scandinavian Journal of Public Administration. ISSN 2001-7405. 25(2), s. 73–97. Fulltekst i vitenarkiv

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  • Broomfield, Heather & Lintvedt, Mona Naomi (2021). EU Data Governance Act – why, how and where to? .
  • Spilker, Hendrik Storstein; Reutter, Lisa Marie; Broomfield, Heather; Aasback, Anne Wullum & Dahl-Jørgensen, Tangni Cunningham (2020). DATAFICATION IN THE PUBLIC SECTOR: EXPLORING THE BORDERS BETWEEN PUBLIC SERVICES AND CITIZENS.
  • Reutter, Lisa Marie & Broomfield, Heather (2019). AI + offentlig sektor =sant?
  • Reutter, Lisa Marie & Broomfield, Heather (2019). Kunstig intelligens/data science: En kartlegging av status, utfordringer og behov i norsk offentlig sektor - første resultater. NTNU. Fulltekst i vitenarkiv

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Publisert 1. okt. 2019 09:08 - Sist endret 24. nov. 2021 14:02