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Deploying digitalisation and artificial intelligence in sustainable development research

Walter Leal Filho (), Peter Yang, João Henrique Paulino Pires Eustachio (), Anabela Marisa Azul (), Joshua C. Gellers (), Agata Gielczyk (), Maria Alzira Pimenta Dinis () and Valerija Kozlova ()
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Walter Leal Filho: Hamburg University of Applied Sciences
João Henrique Paulino Pires Eustachio: University of São Paulo
Anabela Marisa Azul: University of Coimbra, CIBB-Centre for Innovative Biomedicine and Biotechnology, CNC-Center for Neuroscience and Cell Biology
Joshua C. Gellers: University of North Florida
Agata Gielczyk: University of Science and Technology
Maria Alzira Pimenta Dinis: University Fernando Pessoa (UFP)
Valerija Kozlova: RISEBA University of Applied Sciences

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2023, vol. 25, issue 6, No 8, 4957-4988

Abstract: Abstract Many industrialised countries have benefited from the advent of twenty-first century technologies, especially automation, that have fundamentally changed manufacturing and industrial production processes. The next step in the evolution of automation is the development of artificial intelligence (AI), i.e. intelligence which is demonstrated by machines and systems, which cannot only perform tasks but also work synergistically with humans and nature. Intelligent systems that can see, analyse situations and respond sensitively to real-time cues, from human gestures and facial expressions to pedestrians crossing a busy street, will reshape transportation, precision agriculture, biodiversity conservation, environmental modelling, public health, construction and manufacturing, as well as initiatives designed to promote prosperity on Earth. This paper explores the connections between AI systems and sustainable development (SD) research. By means of a literature review, world survey, and case studies, ways in which AI can support research on SD and, inter alia, contribute to a more sustainable and equitable world, are identified.

Keywords: Artificial intelligence; Digitalisation; Sustainable development research; Sustainable Development Goals; World survey; Case studies (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10668-022-02252-3

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