Connecting brain and heart: artificial intelligence for sustainable development

Diego Chavarro, Jaime Andres Perez Taborda and Alba Ávila

No gj5kr, SocArXiv from Center for Open Science

Abstract: A key objective of global policies on Artificial Intelligence (AI) is to foster AI research for sustainable development (SD). In this paper we examine the inclusion of this objective in AI published research by addressing three questions: 1) To what extent is AI research addressing the sustainable development goals (SDGs)? 2) Which subject areas of AI show an emerging interest in SD? And 3) What patterns of collaboration between regions of the world are being stimulated by AI? We analyzed AI papers from 2000 to 2019 using the IEEE Xplore database by: 1) Identifying the number of AI papers that address SDGs in their titles, abstracts, and keywords. 2) Developing a composite indicator based on the number of documents produced, citation impact, and inventive impact to distinguish areas with an emerging interest in SD; 3) Exploring co-authorships at three levels: region, income group, and country. The results show that a small share of papers is explicitly focused on SD, but there is an emerging interest in Broadcast technology, Systems Engineering and Theory, Ultrasonics, Ferroelectrics, and Frequency Control, Sensors, and Education. Inter-regional and inter-income group collaboration are limited, and network power is concentrated in a few countries. The results could be useful to align the connection between technical knowledge, strategic planning for S&T investment, and SD policies.

Date: 2021-05-04
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:gj5kr

DOI: 10.31219/osf.io/gj5kr

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