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

Pigola, Angélica; Costa, Priscila Rezende da; Carvalho, Luísa Cagica; Silva, Luciano Ferreira da; Kniess, Cláudia Terezinha; Maccari, Émerson Antônio

doi:10.3390/su132413669

Cited by 30 publications

(12 citation statements)

References 87 publications

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“…In study (Pigola, 2021), confirmed that digital technologies (DT) are characterized by innovation, and that they have played a key role in economic, social, and environmental dimensions. As a result, DT are important contributors to the achievement of the Sustainable Development Goals (SDGs).…”

Section: -Literature Reviewmentioning

confidence: 67%

Artificial intelligence as one of the requirements to achieve the sustainable development goals Case Study on Saudi Arabia and Egypt

رزق¹

2022

التجارة والتمويل

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Recently, interest in artificial intelligence (AI) and its effects on several economic sectors has increased, especially with the era of digital transformation and digitization. This study attempted to review the extent of the impact of artificial intelligence on achieving sustainable development goals. It was found that artificial intelligence can help achieve 134 goals. sustainable development. The study used the descriptive and experimental approach, where the study dealt with previous studies that dealt with artificial intelligence and its importance in achieving sustainable development goals. The study focused on the experience of both Egypt and Saudi Arabia in artificial intelligence applications as one of the important experiences in the Arab countries.The study concluded with several findings and recommendations, including that the rapid rise of artificial intelligence should be accompanied by organizational understanding and supervision of artificial intelligence-based technologies. The NEOM project in Saudi Arabia, which is based on artificial intelligence considered one of the best projects which apply AI, and in Egypt, The National Council for Artificial Intelligence has been tasked with developing a comprehensive national plan for the localization of the artificial intelligence industry and Egypt's leadership role at the regional level as a global player in this field.

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Section: -Literature Reviewmentioning

confidence: 67%

Artificial intelligence as one of the requirements to achieve the sustainable development goals Case Study on Saudi Arabia and Egypt

رزق¹

2022

التجارة والتمويل

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“…After the data collection phase, the next stage involved the evaluation of the economic and environmental results of the implementation of CP, to address the proposed research questions. The instruments used to evaluate the economic and environmental results, as recommended by [34,[54][55][56][57][58][59] followed the methodology for the environmental evaluation of the implementation of Eco efficiency tools in industrial operations. A first step involved the collection of data to identify the reduction in waste and emissions, by means of a mass balance method, offering detail about the materials and the components and calculation of the Total Saved Materials (MTE).…”

Section: Methodsmentioning

confidence: 99%

Overcoming Barriers to the Implementation of Cleaner Production in Small Enterprises in the Mechanics Industry: Exploring Economic Gains and Contributions for Sustainable Development Goals

et al. 2022

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The purpose of this study is to evaluate the economic and environmental gains that result from the implementation of cleaner production in a small enterprise (SE) from the metal and mechanics industry, allowing for overcoming barriers and contributing to sustainable development goals. The research work builds on a case study that involved several data sources, including semi structured interviewing and non-participant observation. Data analysis involved the calculation of mass balance, building solid and liquid waste that were minimized in the process. The results suggest that cleaner production led to economic gains, by allowing for reduction in losses and promoting a better use of raw materials. It also led to environmental improvements by means of the implementation of a wastewater treatment station that allowed for the reuse of water in the manufacturing process. It was concluded that the economic gain in the project played a determinant role for the SE to overcome the barriers for the implementation of CP and leading to the reduction of the environmental impact in the abiotic, biotic, water and air compartments, as estimated with the Mass Intensity Factor. The study offers a timely and relevant contribution for the literature in the field, while offering insights for o managerial practice, and the attainment of the Sustainable Development Goals defined by the United Nations Development Program.

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“…AI brings huge potential to accelerate the green energy transition [154][155][156], but its current application is limited to pilots, with barriers to scaling up. AI applications for energy cover consist of high-fidelity models for predicting renewable generation and demand, grid and systems optimization, operation and maintenance, demand management and innovation [157][158][159]. Virtual Power Plants can boost distributed energy and automation of small, distributed devices such as electric vehicles [153,160].…”

Section: Group 3: Ai As a DImentioning

confidence: 99%

“…In addition, a relevant limitation of this analysis relies on the potential bias induced when selecting datasets [159], applying black-box algorithms and when evaluating interactions and impacts based on expert opinions and pilots whose results are difficult to extrapolate and could lead to spurious conclusions [52]. In conclusion, there exists a burgeoning research landscape and huge opportunities but also several caveats, data and reporting gaps, lack of accountability, and limited literature on the contribution of AI to most SDG metrics that merit further research.…”

Section: Group 3: Ai As a DImentioning

confidence: 99%

“…In combination with earth observation (i.e., Land and Sentinel Satellites), AI could help assess the emissions and their effects, while algorithms generate a high carbon footprint.Several experts call for more transparency in terms of the climate impacts of AI. Regarding the contribution to SDG 13.3.1 (education for sustainable development), AI has indeed the potential to analyze massive educational data (e.g., resilient, sustainable, and circular industry and smart manufacturing[186] by monitoring pollution and resource efficiency, enhancing transport and communication infrastructures and boosting research and innovation across all the domains[159,163]. In the urban sphere, the great potential of AI in combination with the Internet of People (IoP) for smart and low-carbon cities is widely recognized Preprints (www.…”

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confidence: 99%

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Operationalizing Digitainability: Encouraging mindfulness to harness the power of digitalization for sustainable development

Gupta¹,

Zeballos²,

Castro³

et al. 2022

Preprint

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Digitalization is globally transforming the world with profound implications. It has enormous potential to foster progress toward sustainability. However, in its current form, digitalization also continues to enable and encourage practices with numerous unsustainable impacts affecting our environment, ingraining inequality, and degrading quality of life. There is an urgent need to identify such multifaceted impacts holistically. Impact assessment of digital interventions (DIs) leading to digitalization is important specifically for Sustainable Development Goals(SDGs). Action is required to understand the pursuit of short-term gains toward achieving long-term value-driven sustainable development. We need to understand the impact of DIs on various actors and in diverse contexts. A holistic understanding of the impact it creates will help us align it with visions of sustainable development and identify potential measures to mitigate negative short and long-term impacts. The recently developed Digitainability Assessment Framework (DAF) unveils the impact of DIs with an in-depth context-aware assessment and offers an evidence-based impact profile of SDGs at the indicator level. We performed the impact assessment of diverse technologies using DAF. This paper summarizes the insights from the Digitainable Spring School 2022 on "Sustainability with Digitalization and Artificial Intelligence," one of whose goals was to operationalize the DAF as a tool in the action learning process with diverse professionals in the field of digitalization and sustainability. The DAF guides a holistic context-aware process formulation for a given DI. An evidence-based evaluation within the DAF protocol benchmarks a specific DI’s impact against the SDG indicators framework. The operationalization of the DAF was carried out by looking at four different DIs: smart home technologies (SHT) for energy efficiency, blockchain for food security, artificial intelligence for land use cover and changes (LUCC), and big data for international law. Each of the four studies addresses different DIs for digitainability assessment using different techniques for a diverse group of indicators, demonstrating the potential of the DAF but also outlining the existing data gaps that limit a comprehensive analysis.

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

Cited by 30 publications

References 87 publications

Artificial intelligence as one of the requirements to achieve the sustainable development goals Case Study on Saudi Arabia and Egypt

Artificial intelligence as one of the requirements to achieve the sustainable development goals Case Study on Saudi Arabia and Egypt

Overcoming Barriers to the Implementation of Cleaner Production in Small Enterprises in the Mechanics Industry: Exploring Economic Gains and Contributions for Sustainable Development Goals

Operationalizing Digitainability: Encouraging mindfulness to harness the power of digitalization for sustainable development

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