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African Urbanisms>programme>session-23-hendawy

Innovation in Emerging markets– Understanding Urban AI applications in/on Africa

Session 23

Authors: Mennatullah Hendawy (Ain Shams University & Centre for Advanced Internet Studies), Wafi Almuntaser, Amin Osama

Keywords:

Session 23: Disrupting Digital Doom and Delusion: Emergent Urban Futures in Africa

Friday October 25, 13:45–15:15, PG Seminar Room, John Moffat Building

Innovation in Emerging Markets– Understanding Urban AI Applications In/On Africa

Abstract

This article delves into the fabric of urban AI applications across the African continent, which stands as a testament to the ingenuity and adaptive capabilities of emerging markets in harnessing the power of AI. Through an extensive series of structured interviews with the founders and managing directors of five diverse AI applications, our research seeks to unravel the intricate patterns of success and failure that characterize AI innovation in Africa. The participants were selected based on their contributions to urban development through AI, representing sectors ranging from healthcare and transportation to financial services and urban planning. The interviews are designed to extract deep insights into the unique entrepreneurial journeys within the context of Africa's distinctive economic and socio-cultural landscape. We aim to understand the barriers these pioneers face, the strategies they employ to overcome them, and the factors that contribute to the sustainable implementation of AI technologies in urban settings. We integrate our findings with established frameworks from previous work on systematic innovation, specifically focusing on the critical role of impact technologies. This involves dissecting the complexities of innovation ecosystems, considering factors such as local market conditions, regulatory environments, talent availability, and the critical role of infrastructure. Furthermore, we analyze the broader implications of AI innovations on urban African societies, including ethical considerations, social impact, and the potential for inclusive growth. By identifying patterns and themes across the cases studied, we synthesize a set of conditions under which AI innovations tend to flourish in this dynamic and rapidly evolving environment. In conclusion, the article not only highlights the particularities of AI application successes and failures in Africa but also contributes to the discourse on fostering innovation in similar contexts globally. It offers strategic insights for stakeholders, including innovators, policymakers, investors, and international bodies seeking to support and leverage AI for urban development and transformation in emerging markets.

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