The Role of Generative AI in Corporate Digital Responsibility
Rana Salah Nasr and
Sara El-Deeb
Chapter 4 in The Role of Technology and Innovation in Achieving Sustainability:Assessing Benefits and Limitations, 2026, pp 77-101 from World Scientific Publishing Co. Pte. Ltd.
Abstract:
Purpose: This paper examines the role of generative artificial intelligence (AI) within the framework of corporate digital responsibility (CDR), emphasizing the ethical obligations businesses face amid the rapid advancement and deployment of generative AI tools. It aims to explore how organizations can integrate responsible practices to minimize risks while leveraging the benefits of AI (Kunz and Wirtz, 2024; Qammar et al., 2023).Approach: The paper adopts a conceptual approach, drawing on recent literature, industry reports, and ethical frameworks to assess the intersection of generative AI and CDR. Key insights are synthesized to propose a more balanced strategy for ethical AI integration in business contexts.Findings:The paper finds that while businesses are rapidly adopting generative AI to maintain a competitive edge, this often comes at the cost of safety and ethical considerations. It highlights a growing imbalance between innovation and accountability. The integration of CDR principles offers a strategic and sustainable direction to achieve the right balance, ensuring that trust, transparency, and long-term societal well-being are central to AI strategies.Originality: This research contributes to the ongoing discourse on ethical AI by introducing the CDR framework as a critical lens for understanding generative AI adoption. It uniquely positions CDR as a key strategy for navigating the complexities and consequences of AI in business, offering practical insights for a more equitable and sustainable technological future.
Keywords: Sustainability; Technology; Innovation; Social Responsibility; CSR; AI; Management; Fintech; Public Health; SDGs (Sustainable Development Goals); Industry 5.0; Blockchain; Epidemic Management Global Security; Emerging Markets (search for similar items in EconPapers)
JEL-codes: M14 O31 Q01 Q55 Q56 (search for similar items in EconPapers)
Date: 2026
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