Mapping the ethic‐theoretical foundations of artificial intelligence research

Author:

White Gareth R. T.1ORCID,Samuel Anthony2,Jones Paul3,Madhavan Naveen4,Afolayan Ademola5,Abdullah Ahmed6,Kaushik Tanmay1

Affiliation:

1. School of Management Cranfield University Milton Keynes UK

2. Business School Cardiff University Cardiff UK

3. Swansea University Swansea UK

4. Digital Health and Care Wales, Ty Glan‐yr‐Afon Cardiff UK

5. Saskatchewan Polytechnic, School of Business Saskatchewan Canada

6. Business School University of South Wales Pontypridd UK

Abstract

AbstractThe issue of artificial intelligence (AI) ethics is a prominent research subject. While there is a compendious literature that explores this area, surprisingly little of it makes explicit reference to the ethic‐theoretical foundations upon which it is built. To address this matter, this study makes an examination of the AI ethics literature to identify its ethic‐theoretical foundations. The study identifies the lack of AI ethics literature that draws upon seminal ethics works and the ensuing disconnectedness among the publications on this subject. It also uncovers numerous non‐Western ethic‐theoretical positions that can be adopted and may afford new insight into AI ethics research and practice. Employing these alternative lenses may obviate the tendency for Western worldviews to dominate the academic literature. The study provides some guidance for future AI ethics research which should endeavor to clearly articulate its chosen ethic‐theoretical position, and for practice which could benefit from understanding and articulating the principles upon which AI systems are founded. It also provides some observations of, and guidance for, the utilization of Litmaps software in the conduct of Literature reviews.

Publisher

Wiley

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Ethics in quantitative sport management research: the impact of AI;International Journal of Sports Marketing and Sponsorship;2024-07-23

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