The integration of artificial intelligence (AI) into environmental, social, and governance (ESG) practices faces several challenges. In order to get major advantages from AI in their ESD activities, entities must overcome many key obstacles, including technical challenges, regulatory frameworks, data security and privacy concerns, ethical considerations, biases, and data quality issues.
Published in Chapter:
An Inquiry Into the Obstacles Hindering the Widespread Use of Artificial Intelligence in Environmental, Social, and Governance Practices
Copyright: © 2024
|Pages: 17
DOI: 10.4018/979-8-3693-2964-1.ch004
Abstract
This chapter examines the correlation between artificial intelligence (AI) and the integration of environmental, social, and governance (ESG) factors in contemporary business and technology. The chapter explores how AI might provide practical answers to current urgent social issues regarding sustainability. The chapter focuses on the ethical dimensions of sustainable technologies that address ecological issues, as well as AI-driven forecasts for ESG indicators, ethical supply chains, and forthcoming legislation. The growing integration of AI and ESG presents opportunities for sustainable-oriented organizations to expand their market share via the adoption of environmentally friendly strategies. This convergence allows for the alignment of sustainability goals with advanced technology, resulting in a truly transformative partnership.