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What is Cost and Resource Constraints

Chapter 13
Social and Ethical Implications of AI in Finance for Sustainability
Various barriers hamper ESG-integrated AI-based financial use. There should also be efficiency in resource distribution, the cost of original investments, and maintenance. It entails meticulous planning aimed at ensuring that there is no excessive cost to meeting sustainability objectives.
Published in Chapter:
Investigation Into the Barriers to AI Adoption in ESG Integration and Identification of Strategies to Overcome These Challenges
Siriyama Kanthi Herath (Clark Atlanta University, USA) and Laksitha Maheshi Herath (New York University, USA)
Copyright: © 2024 |Pages: 26
DOI: 10.4018/979-8-3693-2881-1.ch013
Abstract
This chapter examines AI and its role within the landscape of business and technology, teeming with ESG integration. It sheds light on how AI presents meaningful alternatives to existing environmental problems and suggests ways regional and national governments can find solutions to sustainability issues. The ethical elements of these technologies form the focus of the essay, while forecasts, ethical supply chains, and enforcement of regulations loom ahead. The AI-ESGI convergence provides growing space for firms whose focus is sustainability to conquer a more diversified customer base by fostering green strategies. It is this alignment of smart approaches and efficient technologies that promises the future of sustainable development. A glimmer of hope is ignited.
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