Publisher's Synopsis
As the interplay of environmental, social, and governance factors becomes increasingly crucial, the global business landscape faces a monumental challenge. Climate change, social inequities, and economic uncertainties loom large, demanding immediate attention. The integration of Environmental Social Governance (ESG) principles and Artificial Intelligence (AI) technologies emerges as a powerful solution to these challenges. However, navigating the complexities of this integration, understanding its implications, and harnessing its full potential is a formidable task. Academic scholars, policymakers, and practitioners are grappling with a critical question: How can we leverage the convergence of ESG and AI to drive sustainable practices and address pressing global issues? The answer lies in comprehending the multifaceted dimensions of this integration, its ethical considerations, and its transformative potential. To gain these insights, a comprehensive resource is needed, one that offers a deep dive into ESG-AI integration, delving into empirical research, practical applications, and ethical concerns. Intersecting Environmental Social Governance and AI for Business Sustainability is a book that answers the call to action for this pressing challenge with an in-depth exploration of the evolving field of ESG and AI integration. Through extensive research, case studies, and expert insights, the book provides a roadmap to harness the transformative power of AI within the ESG context. It equips readers including academics, researchers, policymakers, and practitioners, with the knowledge to navigate the complexities of sustainable practices, offering recommendations and a forward-looking perspective on emerging technologies. This book is an essential resource for those seeking to promote sustainability, responsible business practices, and informed decision-making in our ever-changing world.
