Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/238002 
Authors: 
Year of Publication: 
2021
Series/Report no.: 
23rd Biennial Conference of the International Telecommunications Society (ITS): "Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world", Online Conference / Gothenburg, Sweden, 21st-23rd June, 2021
Publisher: 
International Telecommunications Society (ITS), Calgary
Abstract: 
The use of artificial intelligence (AI) based systems complements the time-sensitive and data intensive nature of many activities in the financial services industry (FSI)-Specifically, in FinTech Ecosystems (FEs) that have disrupted many financial services landscapes in sub-Saharan Africa (SSA). However, FEs have distinct interrelated supply-side and demand-side dynamics that perpetuate gender disparity. As evidenced in many wealthier economies with more AI maturity, technology is not neutral, AI in particular is inherently biased and magnifies pervasive gender and racial discrimination that exist in the ecosystems where it is deployed. This raises questions regarding the manner in which AI can exacerbate or alleviate current dynamics in inequitable and unfair ecosystems. With the aforementioned in mind, this paper adopts a gender lens to examine the potential impact of using AI based systems in the FEs of four SSA countries-South Africa, Kenya, Nigeria, and Ghana.
Document Type: 
Conference Paper

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