Organisational responses to the ethical issues of artificial intelligence

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

Abstract

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.

Citation

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. https://doi.org/10.1007/s00146-021-01148-6

• 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
• DOI: https://doi.org/10.1007/s00146-021-01148-6
• Keywords: Artificial Intelligence; Human-Computer Interaction; Philosophy
• Public URL: https://nottingham-repository.worktribe.com/output/14601929
• Publisher URL: https://link.springer.com/article/10.1007/s00146-021-01148-6