Enriching Moral Perspectives on AI: Concepts of Trust amongst Africans
Lameck Mbangula Amugongo, Nicola J Bidwell, Joseph Mwatukange

TL;DR
This study explores how Africans perceive and conceptualize trust in AI, emphasizing cultural values and social relations, and highlights the need for more context-specific research in African settings.
Contribution
It provides empirical insights into African perspectives on AI trust, highlighting cultural influences and expanding understanding beyond Western-centric studies.
Findings
Trust in AI is influenced by cultural and community values.
African respondents emphasize communal relations over individual autonomy.
Factors like education and mobility shape trust concerns and principles.
Abstract
The trustworthiness of AI is considered essential to the adoption and application of AI systems. However, the meaning of trust varies across industry, research and policy spaces. Studies suggest that professionals who develop and use AI regard an AI system as trustworthy based on their personal experiences and social relations at work. Studies about trust in AI and the constructs that aim to operationalise trust in AI (e.g., consistency, reliability, explainability and accountability). However, the majority of existing studies about trust in AI are situated in Western, Educated, Industrialised, Rich and Democratic (WEIRD) societies. The few studies about trust and AI in Africa do not include the views of people who develop, study or use AI in their work. In this study, we surveyed 157 people with professional and/or educational interests in AI from 25 African countries, to explore how…
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Taxonomy
TopicsEthics and Social Impacts of AI · AI in Service Interactions
