Global To Local: South African Perspectives on AI Ethics Risks

15 Pages Posted: 10 Oct 2022 Last revised: 4 Nov 2022

See all articles by Emile Ormond

Emile Ormond

University of South Africa Graduate School of Business Leadership

Date Written: September 1, 2022

Abstract

The type and nature of artificial intelligence's (AI) ethics risks are unlikely to be uniform across societies. The literature on AI ethics risks is, however, dominated by a universalistic, Global North outlook. This exploratory study aims to add to the discourse by providing a Global South perspective on generic, domain-specific AI ethics risks in South Africa. The study identifies universal AI ethics risk themes in the Global North literature through a thematic analysis. It then uses an inductive, qualitative methodology to empirically identify South African practitioners' views, through semi-structured interviews, on universal and local AI ethics risks. The significance of the findings are discussed. Lastly, the study proposes a multi-level South African-centric framework to map AI ethics risks.

Keywords: Artificial intelligence, machine learning, ethics, risk, Global South

Suggested Citation

Ormond, Emile, Global To Local: South African Perspectives on AI Ethics Risks (September 1, 2022). Available at SSRN: https://ssrn.com/abstract=4240356 or http://dx.doi.org/10.2139/ssrn.4240356

Emile Ormond (Contact Author)

University of South Africa Graduate School of Business Leadership ( email )

Smutsweg
Midrand
South Africa

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