Reflections on Sustainable Development, Sustainability and Business Practice: Lessons From Measurement, Scalability and Bias in Artificial Intelligence (AI)

Abstract

This chapter suggests that enhancing sustainable development in the age of technologies requires reflection about the relationship between business practice and sustainable development, as well as clarification of the relationship between sustainability and sustainable development. At the core of business activity is the definition of sustainable development defined by Brundtland (1987) as ‘meet[ing] the needs of the present without compromising the ability of future generations to meet their own needs’. Although that captures only one aspect of the sustainability story and its relationship to sustainable development, it nonetheless shapes business approach in research and in sustainability practices. To illustrate the contradictions and tensions in practice so far, this chapter uses three lenses: measurement in environmental, social and governance (ESG) investment, the problem of scalability and the challenge of bias in artificial intelligence (AI). It is not clear that we need a paradigm shift, but a shift in mindsets around sustainability business practice will be needed if sustainable development is to be enhanced in the age of technologies.

Citation

Melo, L.F. (2023), "Reflections on Sustainable Development, Sustainability and Business Practice: Lessons From Measurement, Scalability and Bias in Artificial Intelligence (AI)", Sharma, R., Shishodia, A. and Gupta, A. (Ed.) Fostering Sustainable Development in the Age of Technologies, Emerald Publishing Limited, Leeds, pp. 145-161. https://doi.org/10.1108/978-1-83753-060-120231012