The Transformative Impact of AI on CSR, ESG, and Sustainability: Critical Review and Case Studies

Abstract

In this chapter, the utilization of Artificial Intelligence (AI) and Machine Learning (ML) tools, improved by human expertise, offers a detailed investigation into their transformative effects on Corporate Social Responsibility (CSR), Environmental, Social, and Governance (ESG) standards, and sustainability. Initial insights and structural foundations were developed using AI, specifically utilizing ChatGPT-4, with the author significantly enhancing the content through in-depth academic research and analysis. This synergistic approach provides a holistic view of AI and ML’s role in promoting ethical business practices, improving sustainability reporting efficiency, and facilitating informed decision-making within CSR and ESG frameworks. Incorporating extensively verified and expanded real-world examples, the work delves into the practical applications of these technologies and addresses the ethical considerations they raise. This collaboration highlights the evolving role of AI in research and emphasizes the critical importance of integrating AI-generated insights with scholarly research to drive forward sustainable and socially responsible corporate strategies and policies.

Citation

Ozkan, B. (2024), "The Transformative Impact of AI on CSR, ESG, and Sustainability: Critical Review and Case Studies", Choi, J.J. and Kim, J. (Ed.) Responsible Firms: CSR, ESG, and Global Sustainability (International Finance Review, Vol. 23), Emerald Publishing Limited, Leeds, pp. 203-218. https://doi.org/10.1108/S1569-376720240000023012