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AI-policy formulation and practise

Andersson, Astrid and Hedin, Fanny LU (2026) INFM12 20261
Department of Informatics
Abstract
The usage of AI in organisations is increasing at a fast pace and is creating a growing de-mand for AI governance and AI-policies. Despite this, the knowledge of how policies are formulated and translated into practise is at large limited. This study aims to qualitatively explore how Nordic organisations navigate both the process of formulating and translating their AI-policies into practise. This study is based on seven qualitative semi-structured inter-views with people in management in medium to large organisations operating in different industries.
This study applies Institutional theory as the theoretical and analytical framework and identi-fies three isomorphic mechanisms in policy formulation: coercive, mimetic and normative... (More)
The usage of AI in organisations is increasing at a fast pace and is creating a growing de-mand for AI governance and AI-policies. Despite this, the knowledge of how policies are formulated and translated into practise is at large limited. This study aims to qualitatively explore how Nordic organisations navigate both the process of formulating and translating their AI-policies into practise. This study is based on seven qualitative semi-structured inter-views with people in management in medium to large organisations operating in different industries.
This study applies Institutional theory as the theoretical and analytical framework and identi-fies three isomorphic mechanisms in policy formulation: coercive, mimetic and normative isomorphism. Two additional views of considering the AI-policy’s function and purpose also arose, namely seeing it as an external communication tool for stakeholders or seeing it as an internal governance tool.
The results show that organizations are actively working to achieve AI-policy understanding rather than simply policy awareness. This is shown by the inclusion of training efforts, exec-utive engagement as well as short and concise policy documents. This study also identifies risks of policy-practise decoupling, especially as rapid technological development makes it difficult to keep policies relevant over time. (Less)
Please use this url to cite or link to this publication:
author
Andersson, Astrid and Hedin, Fanny LU
supervisor
organization
alternative title
A study of AI-policy and organisations AI practises emergence and co-existence
course
INFM12 20261
year
type
H1 - Master's Degree (One Year)
subject
keywords
AI-policy, Policy formulation, AI governance, Institutional theory, Isomorphism, Decoupling, Responsible AI
language
English
id
9239676
date added to LUP
2026-06-16 14:55:04
date last changed
2026-06-16 14:55:04
@misc{9239676,
  abstract     = {{The usage of AI in organisations is increasing at a fast pace and is creating a growing de-mand for AI governance and AI-policies. Despite this, the knowledge of how policies are formulated and translated into practise is at large limited. This study aims to qualitatively explore how Nordic organisations navigate both the process of formulating and translating their AI-policies into practise. This study is based on seven qualitative semi-structured inter-views with people in management in medium to large organisations operating in different industries. 
This study applies Institutional theory as the theoretical and analytical framework and identi-fies three isomorphic mechanisms in policy formulation: coercive, mimetic and normative isomorphism. Two additional views of considering the AI-policy’s function and purpose also arose, namely seeing it as an external communication tool for stakeholders or seeing it as an internal governance tool. 
The results show that organizations are actively working to achieve AI-policy understanding rather than simply policy awareness. This is shown by the inclusion of training efforts, exec-utive engagement as well as short and concise policy documents. This study also identifies risks of policy-practise decoupling, especially as rapid technological development makes it difficult to keep policies relevant over time.}},
  author       = {{Andersson, Astrid and Hedin, Fanny}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{AI-policy formulation and practise}},
  year         = {{2026}},
}