Organisational tensions in introducing socially sustainable AI

Abstract The introduction of AI into an organisation is linked to many of its functions, changing not only the technical systems but also the organisation of work and the society around it. Technology is often introduced with efficiency goals in mind, but at the same time, the constantly evolving understanding of sustainable and responsible business raises questions about how to ensure socially sustainable, ethical and responsible development and deployment of AI. The introduction of new, complex technologies, combined with the increasing social complexity of the operating environment, can easily create conflicting demands and dilemmas for organisations. In this paper, we explore the organisational tensions in public and private organisations that are planning to deploy or have already experimented with AI. The aim of the study is to broaden the understanding of AI-related organisational tensions: what issues they cover and how they are described by the practitioners working with AI. The research methodology is a qualitative content analysis of transcribed interviews with AI development experts from 42 Finnish organisations. The results are divided into three categories: (1) tensions related to values, (2) tensions related to AI implementation, and (3) tensions related to AI impacts. A total of 12 pairs of tensions were identified within these categories. We argue that by identifying and understanding AI-related tensions, organisations can learn about the positive and negative social, environmental and economic impacts of AI. This awareness enables organisations to consider impacts in advance, focus attention on key issues and act in a more sustainable way when adopting AI.

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Publication Details

Journal
AI & Society
Published
2025-03-16
DOI
https://doi.org/10.1007/s00146-025-02293-y
Citations
1
Primary Topic
Innovation, Sustainability, Human-Machine Systems
Type
article
Field-Weighted Citation Impact
4.20

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article

Organisational tensions in introducing socially sustainable AI

Jaana Leikas, Mika Nieminen, Marinka Lanne
1 citations
AI & Society
Innovation, Sustainability, Human-Machine Systems
4.20
article

Organisational tensions in introducing socially sustainable AI

Jaana Leikas, Mika Nieminen, Marinka Lanne
article en
1 citations

Abstract

Abstract The introduction of AI into an organisation is linked to many of its functions, changing not only the technical systems but also the organisation of work and the society around it. Technology is often introduced with efficiency goals in mind, but at the same time, the constantly evolving understanding of sustainable and responsible business raises questions about how to ensure socially sustainable, ethical and responsible development and deployment of AI. The introduction of new, complex technologies, combined with the increasing social complexity of the operating environment, can easily create conflicting demands and dilemmas for organisations. In this paper, we explore the organisational tensions in public and private organisations that are planning to deploy or have already experimented with AI. The aim of the study is to broaden the understanding of AI-related organisational tensions: what issues they cover and how they are described by the practitioners working with AI. The research methodology is a qualitative content analysis of transcribed interviews with AI development experts from 42 Finnish organisations. The results are divided into three categories: (1) tensions related to values, (2) tensions related to AI implementation, and (3) tensions related to AI impacts. A total of 12 pairs of tensions were identified within these categories. We argue that by identifying and understanding AI-related tensions, organisations can learn about the positive and negative social, environmental and economic impacts of AI. This awareness enables organisations to consider impacts in advance, focus attention on key issues and act in a more sustainable way when adopting AI.

AI & SocietyVol. 40(7)
VTT Technical Research Centre of Finland (FI)
European Commission, Strategic Research Council
Openalex Percentile: Top 9%
Innovation, Sustainability, Human-Machine Systems
4.20
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