Regulating artificial-intelligence applications to achieve the sustainable development goals

Goh, Hoe-Han; Vinuesa, Ricardo

doi:10.1007/s43621-021-00064-5

Cited by 26 publications

(15 citation statements)

References 24 publications

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“…Researchers can focus on domain specific studies to provide microscopic picture of the progress in selected domains. Regional differences in trends of research are another area where similar studies can be directed to prepare country/region specific recommendations for policy and governance interventions (Goh & Vinuesa, 2021) for accelerating progress towards the achievement of the SDGs. as flow vergence by (Prabhakaran et al, 2015).…”

Section: Practical Implications/ Usefulness Of the Study Resultsmentioning

confidence: 99%

Artificial intelligence for Sustainable Development Goals: Bibliometric patterns and concept evolution trajectories

Singh,

Kanaujia,

Singh

et al. 2023

Sustainable Development

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The development of artificial intelligence (AI) as a field has impacted almost all aspects of human life. More recently it has found a role in addressing developmental challenges, specifically the Sustainable Development Goals (SDGs). However, there are not enough systematic studies on analysis of the role of AI research towards the SDGs. Therefore, this article attempts to bridge this gap by identifying the major bibliometric trends and concept‐evolution trajectories in the area of AI applications for sustainable‐development goals. The research publication data for the last 20 years in the areas of artificial intelligence, machine learning, deep learning, and so forth, is obtained and computationally analysed using a framework comprising bibliometrics, path analysis and content analysis. The findings show an incremental trend in overall publications on the application of AI for SDGs across the different regions of the world. SDGs 3 (good health & well‐being) and 7 (affordable and clean energy) are found as the areas with the most applications of AI. In SDG3, the literature reflects application of AI techniques such as deep learning for precision and personalised medicine while in SDG7, a number of studies have employed AI techniques for the integration of systems for efficient generation of solar power and improving the energy efficiency of a building. Furthermore, SDG 4 (quality education), SDG 13 (climate action), SDG 11 (sustainable cities and communities) and SDG 16 (peace, justice and strong institutions) are the other SDGs where AI approaches and techniques are applied. The analytical results present a detailed insight of application of AI for achieving the SDGs.

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Section: Practical Implications/ Usefulness Of the Study Resultsmentioning

confidence: 99%

Artificial intelligence for Sustainable Development Goals: Bibliometric patterns and concept evolution trajectories

Singh,

Kanaujia,

Singh

et al. 2023

Sustainable Development

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“…While these technologies offer transformative potential in yield, efficiency, and sustainability, they also raise complex regulatory challenges. One of the main concerns is the issue of data privacy and security, especially with the integration of AI and real-time monitoring systems that collect extensive data [169,170]. Regulatory guidelines must be established to protect farmers' data and intellectual property.…”

Section: Regulatory and Policy Considerations For Next-generation Tec...mentioning

confidence: 99%

New Generation Sustainable Technologies for Soilless Vegetable Production

Fuentes-Peñailillo,

Gutter,

Vega

et al. 2023

Preprint

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This review article conducts an in-depth analysis of the role of next-generation technologies in soilless vegetable production, highlighting their groundbreaking potential to revolutionize yield, efficiency, and sustainability. These technologies, such as AI-driven monitoring systems and precision farming methods, offer unparalleled accuracy in monitoring critical variables like nutrient concentrations and pH levels. However, the paper also addresses the multifaceted challenges that hinder the widespread adoption of these technologies. The high initial investment costs pose a significant barrier, particularly for small and medium-scale farmers, thereby risking the creation of a technological divide in the industry. Additionally, the technical complexity of these systems demands specialized expertise, potentially exacerbating knowledge gaps among farmers. Ethical considerations are scrutinized, including data privacy concerns and potential job displacement due to automation. Regulatory challenges, such as international trade regulations and policy frameworks, are discussed as they may need revision to accommodate these new technologies. The paper concludes by emphasizing that while these sustainable technologies offer transformative benefits, their potential for broad adoption is constrained by a complex interplay of financial, technical, ethical, regulatory, and social factors. Comprehensive, multi-faceted solutions are therefore essential for their ethical and equitable implementation.

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“…AI can accelerate the speed for achieving SDGs. AI could act as both enabler as well as inhibitor for achieving SDGs (Goh and Vinuesa 2021). AI can help in accomplishing 134 (79%) targets from all the 17 goals but it may also put a negative influence on 59 (35%) targets (DEXAI 2022).…”

Section: Introductionmentioning

confidence: 99%

Importance of Artificial Intelligence in Achieving SDGs in India

Gupta,

Gupta

2024

Int J. of BES

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Sustainable Development Goals (SDGs) represents the 2030 Agenda defined by the United Nations to attain sustainable development. It comprises outlines 17 goals that cover a range of issues. These goals focus on addressing the globe's most crucial economic, communal, and environmental challenges to provide a more sustainable future for every individual. In India, the government has initiated several schemes and programmes for attaining the targets set for different SDGs, but addressing the complex challenges associated with sustainable development requires continued efforts and collaborations from multiple stakeholders including governments, individuals, public and private sectors. Achieving the SDGs is a continuous process, and some targets may need more time and effort to get achieved. Regular monitoring and evaluation are significant for tracking progress and addressing the gaps or challenges that may arise. The COVID-19 pandemic put a critical impact on the advancement towards attaining the targets set for all the SDGs globally. India has been found to be off track for 19 out of the 33 SDG indicators and there is an urgent need to accelerate the momentum of achieving the targets by 2030. AI presents significant opportunities to address these challenges in India. Overall, in India, Artificial Intelligence is seen as valuable tool to achieve the targets set for different goals in the coming years. In this paper, the authors have discussed the schemes and programmes initiated by the Government of India to attain these SDGs and the role of Artificial Intelligence in attaining the targets by the year 2030

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Regulating artificial-intelligence applications to achieve the sustainable development goals

Cited by 26 publications

References 24 publications

Artificial intelligence for Sustainable Development Goals: Bibliometric patterns and concept evolution trajectories

Artificial intelligence for Sustainable Development Goals: Bibliometric patterns and concept evolution trajectories

New Generation Sustainable Technologies for Soilless Vegetable Production

Importance of Artificial Intelligence in Achieving SDGs in India

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