Artificial Intelligence: Building Sustainability in the Implementation of SDGs

Gordon Bowen (), Janakan Sothinathan, Richard Bowen, Deidre Bowen and Atul Sethi
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Gordon Bowen: Anglia Ruskin University
Janakan Sothinathan: Northumbria University London Campus
Richard Bowen: Darwin Home
Deidre Bowen: Operations
Atul Sethi: Ulster University London Campus

Chapter Chapter 24 in Sustainable Digital Marketing for Fashion and Luxury Brands, 2025, pp 581-605 from Springer

Abstract: Abstract The sustainable development goals (SDGs) are necessary and recognised to bring benefits, such as sustainability, which could contribute to economic growth, reduce poverty, and reduce inequalities. The implementation of SDGs is generally accepted as coherent and reasonable to many in society. However, the adoption of SDGs by society is hindered by economic situations and societal behaviour towards the implementation of SDGs. The aim of this chapter is to understand how economic circumstances and societal behaviour influence the implementation and sustainability of SDGs. However, a supplementary hypothesis is that artificial intelligence (AI) can be ethical and be a driver to change societal behaviour to build trust and ethical behaviour in making SDGs an accepted part of society and business. Changing the fashion industry context and, thus, behaviour requires embracing innovation and sustainability and moving from a fast fashion industry to a slow fashion industry. SDGs identified in this chapter have a disproportional impact on developing countries; to level them up economically by leveraging AI requires the fruits of AI technology to be shared and the West and other developed countries to aid the implementation of SDGs. Developing countries can achieve SDGs when developed countries implement a social contract for AI with developing countries.

Keywords: Sustainable development goals; Poverty; Inequality; Economic growth; AI; Fashion industry; Slow fashion; Fast fashion; Circular economy (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-82467-8_24

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DOI: 10.1007/978-3-031-82467-8_24

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