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What is Forecasting Future Trends and Anticipating Challenges

Chapter 4

The Ethical Frontier of AI and Data Analysis

Anticipated developments include the implementation of ethical supply chain management systems, the use of artificial intelligence for social impact evaluations, and the use of predictive analytics to evaluate environmental, social, and governance (ESG) aspects. Obstacles arise due to concerns over data privacy and the ever-evolving legal frameworks.

Published in Chapter:

An Inquiry Into the Obstacles Hindering the Widespread Use of Artificial Intelligence in Environmental, Social, and Governance Practices

Sabyasachi Pramanik (Haldia Institute of Technology, India)

Source Title: The Ethical Frontier of AI and Data Analysis

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.

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