Utilize este identificador para referenciar este registo: https://hdl.handle.net/10316/112996
Título: Deploying digitalisation and artificial intelligence in sustainable development research
Autor: Leal Filho, Walter
Yang, Peter
Eustachio, João Henrique Paulino Pires
Azul, Anabela Marisa 
Gellers, Joshua C
Gielczyk, Agata
Dinis, Maria Alzira Pimenta
Kozlova, Valerija
Palavras-chave: Artificial intelligence; Digitalisation; Sustainable development research; Sustainable Development Goals; World survey; Case studies
Data: 2023
Editora: Springer Nature
Título da revista, periódico, livro ou evento: Environment, Development and Sustainability
Volume: 25
Número: 6
Resumo: 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.
URI: https://hdl.handle.net/10316/112996
ISSN: 1387-585X
1573-2975
DOI: 10.1007/s10668-022-02252-3
Direitos: openAccess
Aparece nas coleções:IIIUC - Artigos em Revistas Internacionais
I&D CNC - Artigos em Revistas Internacionais
I&D CIBB - Artigos em Revistas Internacionais

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