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Artificial Intelligence in the Industry 4.0, and Its Impact on Poverty, Innovation, Infrastructure Development, and the Sustainable Development Goals: Lessons from Emerging Economies?

Author

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  • David Mhlanga

    (Department of Accountancy, University of Johannesburg, Auckland Park, P.O. Box 524, Johannesburg 2006, South Africa)

Abstract

Artificial intelligence in the fourth industrial revolution is beginning to live up to its promises of delivering real value necessitated by the availability of relevant data, computational ability, and algorithms. Therefore, this study sought to investigate the influence of artificial intelligence on the attainment of Sustainable Development Goals with a direct focus on poverty reduction, goal one, industry, innovation, and infrastructure development goal 9, in emerging economies. Using content analysis, the result pointed to the fact that artificial intelligence has a strong influence on the attainment of Sustainable Development Goals particularly on poverty reduction, improvement of the certainty and reliability of infrastructure like transport making economic growth and development possible in emerging economies. The results revealed that Artificial intelligence is making poverty reduction possible through improving the collection of poverty-related data through poverty maps, revolutionizing agriculture education and the finance sector through financial inclusion. The study also discovered that AI is also assisting a lot in education, and the financial sector allowing the previously excluded individuals to be able to participate in the mainstream economy. Therefore, it is important that governments in emerging economies need to invest more in the use of AI and increase the research related to it so that the Sustainable Development Goals (SDGs) related to innovation, infrastructure development, poverty reduction are attained.

Suggested Citation

  • David Mhlanga, 2021. "Artificial Intelligence in the Industry 4.0, and Its Impact on Poverty, Innovation, Infrastructure Development, and the Sustainable Development Goals: Lessons from Emerging Economies?," Sustainability, MDPI, vol. 13(11), pages 1-16, May.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:11:p:5788-:d:559332
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    4. Walter Cardoso Satyro & Jose Celso Contador & Jose Luiz Contador & Marco Aurélio Fragomeni & Sonia Francisca de Paula Monken & Ana Freitas Ribeiro & Anderson Ferreira de Lima & Jansen Anderson Gomes &, 2021. "Implementing Industry 4.0 through Cleaner Production and Social Stakeholders: Holistic and Sustainable Model," Sustainability, MDPI, vol. 13(22), pages 1-16, November.
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    8. Almansour, Mohammed, 2022. "Electric vehicles (EV) and sustainability: Consumer response to twin transition, the role of e-businesses and digital marketing," Technology in Society, Elsevier, vol. 71(C).
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    10. Martin Bugaj & Pavol Durana & Roman Blazek & Jakub Horak, 2023. "Industry 4.0: Marvels in Profitability in the Transport Sector," Mathematics, MDPI, vol. 11(17), pages 1-23, August.
    11. Elena Korneeva & Wadim Strielkowski & Raisa Krayneva & Anna Sherstobitova, 2022. "Social Health and Psychological Safety of Students Involved in Online Education during the COVID-19 Pandemic," IJERPH, MDPI, vol. 19(21), pages 1-15, October.
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    13. Zhencheng Fan & Zheng Yan & Shiping Wen, 2023. "Deep Learning and Artificial Intelligence in Sustainability: A Review of SDGs, Renewable Energy, and Environmental Health," Sustainability, MDPI, vol. 15(18), pages 1-20, September.
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    15. Sayed Fayaz Ahmad & Heesup Han & Muhammad Mansoor Alam & Mohd. Khairul Rehmat & Muhammad Irshad & Marcelo Arraño-Muñoz & Antonio Ariza-Montes, 2023. "Impact of artificial intelligence on human loss in decision making, laziness and safety in education," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    16. Bowen Li & Fangxin Jiang & Hongjie Xia & Jiawei Pan, 2022. "Under the Background of AI Application, Research on the Impact of Science and Technology Innovation and Industrial Structure Upgrading on the Sustainable and High-Quality Development of Regional Econo," Sustainability, MDPI, vol. 14(18), pages 1-19, September.
    17. David Mhlanga, 2021. "Financial Inclusion in Emerging Economies: The Application of Machine Learning and Artificial Intelligence in Credit Risk Assessment," IJFS, MDPI, vol. 9(3), pages 1-16, July.
    18. Popkova, Elena G. & De Bernardi, Paola & Tyurina, Yuliya G. & Sergi, Bruno S., 2022. "A theory of digital technology advancement to address the grand challenges of sustainable development," Technology in Society, Elsevier, vol. 68(C).
    19. David Mhlanga, 2023. "Artificial Intelligence and Machine Learning for Energy Consumption and Production in Emerging Markets: A Review," Energies, MDPI, vol. 16(2), pages 1-17, January.

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