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Deploying digitalisation and artificial intelligence in sustainable development research
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)...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8927747/ https://www.ncbi.nlm.nih.gov/pubmed/35313685 http://dx.doi.org/10.1007/s10668-022-02252-3 |
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author | Leal Filho, Walter Yang, Peter Eustachio, João Henrique Paulino Pires Azul, Anabela Marisa Gellers, Joshua C. Gielczyk, Agata Dinis, Maria Alzira Pimenta Kozlova, Valerija |
author_facet | Leal Filho, Walter Yang, Peter Eustachio, João Henrique Paulino Pires Azul, Anabela Marisa Gellers, Joshua C. Gielczyk, Agata Dinis, Maria Alzira Pimenta Kozlova, Valerija |
author_sort | Leal Filho, Walter |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8927747 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-89277472022-03-17 Deploying digitalisation and artificial intelligence in sustainable development research Leal Filho, Walter Yang, Peter Eustachio, João Henrique Paulino Pires Azul, Anabela Marisa Gellers, Joshua C. Gielczyk, Agata Dinis, Maria Alzira Pimenta Kozlova, Valerija Environ Dev Sustain Article 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. Springer Netherlands 2022-03-17 2023 /pmc/articles/PMC8927747/ /pubmed/35313685 http://dx.doi.org/10.1007/s10668-022-02252-3 Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Leal Filho, Walter Yang, Peter Eustachio, João Henrique Paulino Pires Azul, Anabela Marisa Gellers, Joshua C. Gielczyk, Agata Dinis, Maria Alzira Pimenta Kozlova, Valerija Deploying digitalisation and artificial intelligence in sustainable development research |
title | Deploying digitalisation and artificial intelligence in sustainable development research |
title_full | Deploying digitalisation and artificial intelligence in sustainable development research |
title_fullStr | Deploying digitalisation and artificial intelligence in sustainable development research |
title_full_unstemmed | Deploying digitalisation and artificial intelligence in sustainable development research |
title_short | Deploying digitalisation and artificial intelligence in sustainable development research |
title_sort | deploying digitalisation and artificial intelligence in sustainable development research |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8927747/ https://www.ncbi.nlm.nih.gov/pubmed/35313685 http://dx.doi.org/10.1007/s10668-022-02252-3 |
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