Transforming Corporate Social Responsibility and Business Ethics With AI

Martin Sposato, Eduardo Carlos Dittmar

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Hardback

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English

IGI Global
08 April 2025

Business ethics; Artificial intelligence; Human-computer interaction

AI technologies enable businesses to analyze data, track environmental and social outcomes, and optimize processes to ensure alignment with ethical standards and corporate social responsibility (CSR) goals. Through AI-driven tools, companies can improve transparency, enhance accountability, and identify areas for improvement in their supply chains, labor practices, and environmental impact. It can help organizations predict and mitigate risks related to social responsibility, ensuring well-informed decisions. Integrating AI into CSR and business ethics strategies may position businesses to contribute to societal well-being while maintaining long-term profitability and reputation. Transforming Corporate Social Responsibility and Business Ethics With AI explores the impact of AI across various academic disciplines, highlighting the transformative potential of AI and the critical need for cross-disciplinary collaboration. It provides insights into the current state of AI integration, future possibilities, and ethical considerations. This book covers topics such as ethics and law, management science, and smart cities, and is a useful resource for business owners, government officials, policymakers, sociologists, academicians, and researchers.

Edited by: Martin Sposato, Eduardo Carlos Dittmar
Imprint: IGI Global
Dimensions: Height: 254mm, Width: 178mm, Spine: 33mm
Weight: 1.252kg
ISBN: 9798369398944
Pages: 650
Publication Date: 08 April 2025
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Hardback
Publisher's Status: Active

Martin Sposato is an Associate Professor at the College of Business, Zayed University, Dubai, UAE. He holds a PhD in Leadership. His research interests include leadership, artificial intelligence in organizations, postcolonialism as a theoretical lens, Indigenous (Chinese) theories and conceptualizations of Human Resource Management (HRM), gender in organizations, and reflexivity in research.