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What is Data Solutions

Social and Ethical Implications of AI in Finance for Sustainability
Solving data issues would require collaborative data projects among businesses, government agencies, and data source companies. The good thing about successful partnerships is that they help raise data quality as well as reliability.
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)
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
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An Inquiry Into the Obstacles Hindering the Widespread Use of Artificial Intelligence in Environmental, Social, and Governance Practices
Resolving data problems necessitates cooperative data initiatives including enterprises, government organizations, and data source firms. One advantage of effective collaborations is that they enhance both the quality and dependability of data.
Full Text Chapter Download: US $37.50 Add to Cart
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