Search the World's Largest Database of Information Science & Technology Terms & Definitions
InfInfoScipedia LogoScipedia
A Free Service of IGI Global Publishing House
Below please find a list of definitions for the term that
you selected from multiple scholarly research resources.

What is Challenges and Obstacles

Chapter 13
Social and Ethical Implications of AI in Finance for Sustainability
The incorporation of AI into ESG integration is not without obstacles. For any entity to experience substantial benefits from AI in their ESD initiatives, they will have to go beyond some significant hurdles, namely, the technological ones, legislative arrangements, data safety and privacy, ethics, biases, and data quality.
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.
Full Text Chapter Download: US $37.50 Add to Cart
eContent Pro Discount Banner
InfoSci OnDemandECP Editorial ServicesAGOSR