Skip to main content

Research Repository

Advanced Search

Organisational responses to the ethical issues of artificial intelligence

Stahl, Bernd Carsten; Antoniou, Josephina; Ryan, Mark; Macnish, Kevin; Jiya, Tilimbe

Organisational responses to the ethical issues of artificial intelligence Thumbnail


Josephina Antoniou

Mark Ryan

Kevin Macnish

Tilimbe Jiya


The ethics of artificial intelligence (AI) is a widely discussed topic. There are numerous initiatives that aim to develop the principles and guidance to ensure that the development, deployment and use of AI are ethically acceptable. What is generally unclear is how organisations that make use of AI understand and address these ethical issues in practice. While there is an abundance of conceptual work on AI ethics, empirical insights are rare and often anecdotal. This paper fills the gap in our current understanding of how organisations deal with AI ethics by presenting empirical findings collected using a set of ten case studies and providing an account of the cross-case analysis. The paper reviews the discussion of ethical issues of AI as well as mitigation strategies that have been proposed in the literature. Using this background, the cross-case analysis categorises the organisational responses that were observed in practice. The discussion shows that organisations are highly aware of the AI ethics debate and keen to engage with ethical issues proactively. However, they make use of only a relatively small subsection of the mitigation strategies proposed in the literature. These insights are of importance to organisations deploying or using AI, to the academic AI ethics debate, but maybe most valuable to policymakers involved in the current debate about suitable policy developments to address the ethical issues raised by AI.


Stahl, B. C., Antoniou, J., Ryan, M., Macnish, K., & Jiya, T. (2022). Organisational responses to the ethical issues of artificial intelligence. AI & Society, 37(1), 23-37.

Journal Article Type Article
Acceptance Date Jan 20, 2021
Online Publication Date Feb 16, 2021
Publication Date 2022-03
Deposit Date Dec 31, 2022
Publicly Available Date Jan 12, 2023
Print ISSN 0951-5666
Electronic ISSN 1435-5655
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 37
Issue 1
Pages 23-37
Keywords Artificial Intelligence; Human-Computer Interaction; Philosophy
Public URL
Publisher URL


You might also like

Downloadable Citations