A comprehensive view of artificial intelligence (ai)-based technologies for sustainable development goals (sdgs)

Title

A comprehensive view of artificial intelligence (ai)-based technologies for sustainable development goals (sdgs)

Creator

Singh R.; Kumar K.; Khan S.

Description

Agenda 2030, aimed at sustainable and inclusive development through seventeen SDGs formulated by the United Nations (UN), has become a massive challenge for most nations around the world. Many countries are setting a plan of action for achieving carbon neutrality by 2050. Due to this, industries are under immense pressure to mitigate harmful emissions and incorporate SD in their business activities. In the past decade, AI has grown as the dominating technology which influences nearly every aspect of human life, i.e., society, business, environment, etc. This chapter provides a comprehensive view of AI-driven technological applications in achieving SDGs. It provides a snapshot of the emerging relationship between AI applications and sustainable development and how AI could be used to create sustainable business models. Large-scale adoption of AI-driven technologies has enormous potential from the sustainable development perspective. The purpose of this chapter is to map the application of AI-based technological tools and solutions with the various SDGs. Further, this chapter also extends the discussion on AI-based technology as an enabler of or barrier to addressing sustainable development issues. It provides an important insight for policymakers, practitioners, investors, and other stakeholders about the conducive influence of AI on society, governance, and ecology in line with the priorities underlined in the UN SDGs. 2024 Walter de Gruyter GmbH, Berlin/Boston.

Source

Artificial Intelligence Enabled Management: An Emerging Economy Perspective, pp. 183-195.

Date

2024-01-01

Publisher

De Gruyter

Subject

AI; Disruptive Technologies; SDGs; Sustainable Business Model; Sustainable Development

Coverage

Singh R., Institute of Business Management, GLA University, Mathura, Uttar Pradesh, India; Kumar K., School of Business and Management, Christ (Deemed to be University) NCR Campus, India; Khan S., Department of Industrial Engineering, University of Tabuk, Tabuk, 47512, Saudi Arabia

Rights

Restricted Access

Relation

ISBN: 978-311117240-8; 978-311117325-2

Format

Online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.1515/9783111172408012

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193859675&doi=10.1515%2f9783111172408012&partnerID=40&md5=1e6868183e90866f9c4063954f763d4d