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Artificial Intelligence in Developing Countries
IT Professional ( IF 2.6 ) Pub Date : 2020-07-01 , DOI: 10.1109/mitp.2019.2951851 Nir Kshetri
IT Professional ( IF 2.6 ) Pub Date : 2020-07-01 , DOI: 10.1109/mitp.2019.2951851 Nir Kshetri
& ARTIFICIAL INTELLIGENCE (AI) applications are being used to improve economic, social, and environmental performance in developing economies. AI applications in these economies already do some tasks faster and better than humans. For instance, China’s Ant Financial’s AI-based chatbot system outperforms humans in delivering customer satisfaction. Other applications perform activities that human beings or other technologies are not capable of doing. An autonomous four-wheeled robot developed by Peru’s National Engineering University explores mines to detect dangerous substances such as methane, carbon dioxide, and ammonium. It collects information about their levels and trends. Using sensors, it detects location and generates actions to be taken such as the best routes for the workers to escape (http://www.andina.com.pe/Agencia/noticia-robotminero-tambien-tendria-utilidad-agricultura-ydesastres-naturales-621069.aspx). AI is arguably the fundamental technology of the Fourth Industrial Revolution (4IR). Unsurprisingly many developing countries have made serious commitment to develop AI capabilities. They are accelerating the process of establishing new policies, regulations, and practices for utilizing AI. Countries such as China, India, Kenya, Mexico, Russia, and the UAE have released AI strategy documents (https://www.strategybusiness.com/blog/Is-AI-the-Next-Frontier-forNational-Competitive-Advantage?gko1⁄4931c6). Others have developed broader visions to transform their economies using 4IR technologies (https://www.iol.co.za/business-report/ economy/wef-africa-botswana-tells-the-world-itwants-to-reduce-dependence-on-diamonds31998283). There is, however, a wide variation among developing countries in the development of the AI industry. China is a clear global leader. Most other countries perform poorly in the main ingredients needed for building high-quality AI applications such as big data, computing power and manpower. Nonetheless, the AI ecosystem is gradually emerging in these countries.
更新日期：2020-07-01
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