4.6 Article

Artificial Intelligence-Driven Digital Technologies to the Implementation of the Sustainable Development Goals: A Perspective from Brazil and Portugal

Journal

SUSTAINABILITY
Volume 13, Issue 24, Pages -

Publisher

MDPI
DOI: 10.3390/su132413669

Keywords

digital technologies; sustainable development goals; artificial intelligence; emergent digital technologies

Funding

  1. Brazil by CAPES-Coordination of Personnel Improvement for Higher Education [001]
  2. Brazil by CNPQ-National Council for Scientific and Technological Development
  3. Portugal by National Funds of the FCT-Portuguese Foundation for Science and Technology [UID/ECO/04007/2019]
  4. Portugal by Instituto Polytechnic of Setubal

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This study compares the preference for artificial intelligence-driven digital technologies to achieve SDGs in Brazil and Portugal, identifying AI-Driven DT as favorable facilitators for SDG achievements through data analysis. Recommendations for potential technologies that could receive more attention and investments in both regions are provided to ensure success in reaching the SDGs.
Innovativeness is a characteristic of digital technologies (DT), and they have been assuming an important role in economic, social, and environmental dimensions. Therefore, DT are relevant contributors for sustainable development goal (SDG) achievements. This study aims to compare the preference for artificial intelligence-driven digital technologies (AI-Driven DT) to achieve SDGs in Brazil and Portugal. An independent sample t-test analysis and Levene test are performed to identify potential artificial intelligence-driven digital technologies (AI-Driven DT) as favorable facilitators for SDG achievements in Brazil and Portugal. Based on the findings, a broader analysis is provided, to (i) indicate potential favorable SDGs, (ii) discuss differences between the countries in AI-Driven DT preferences in each SDG, and (iii) make recommendations for potential technologies that could receive more attention and investments in both regions to make emergent digital technologies succeed, with a particular emphasis on cleaner production. The analysis is organized into three dimensions: economic, social, and environment. At the end, a closing discussion is provided about the key guidelines and prospects that could be adopted to keep a strong and positive shift of AI-Driven DT developments and applications towards fully supporting the attainment of the SDG of United Nations Organization (ONU) Agenda 2030.

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