UDTR Global Rights of Nature Radar

Artificial Intelligence, Corporate Social Responsibility, And Sustainable Governance: Integrating Ethical Principles, Open Innovation, And Accountability Mechanisms for Responsible AI in Global Enterprises

Identification

Public canonical key

openalex:w7217108963

Authors

Eleanor Whitfield · Dr. Marco L. Venturi

Reported year

2026

Reported language

en

Source type

article

First detected

2026-11-09T19:04:47.781070+00:00

Last metadata observation

2026-11-09T19:04:47.781070+00:00

Last HTTP verification

Not checked

Institutions reported by the source

University of Bologna · University of Edinburgh

Reported affiliation countries

GB · IT

Documentary abstract — original language

The rapid diffusion of artificial intelligence (AI) across industries has intensified debates surrounding corporate social responsibility (CSR), sustainability, governance, and ethical accountability. While AI offers transformative potential for operational efficiency, innovation, and environmental optimization, it simultaneously introduces profound ethical, legal, and socio-political challenges. This study develops a comprehensive theoretical and empirical analysis of the intersection between AI governance and CSR, drawing exclusively on contemporary scholarship in business ethics, sustainability, information systems, and public policy. The research synthesizes insights from corporate sustainability frameworks, open innovation theory, AI ethics principles, auditing mechanisms, political economy perspectives, and sector-specific applications such as healthcare and financial services. Using a qualitative meta-synthesis methodology grounded in systematic interpretive analysis, the study identifies key dimensions shaping responsible AI adoption in global enterprises: managerial attitudes toward standardization and social responsibility; open innovation as a pathway to shared value creation; political and economic tensions in AI-driven supply chains; ethical paradoxes in consumer markets; regulatory limitations in legal personhood; trust and accountability infrastructures; and the role of business intelligence in enabling transparent AI systems. The findings reveal that corporate AI governance remains fragmented, often driven by reputational risk mitigation rather than integrated sustainability strategies. Moreover, AI auditing practices face structural limitations that undermine meaningful accountability, while AI-driven “green” supply chain claims may obscure hidden environmental externalities. The discussion advances a multidimensional governance model that integrates principle-based regulation, organizational culture, auditing reforms, stakeholder engagement, and business intelligence analytics. The study concludes that responsible AI must move beyond compliance-based ethics toward embedded sustainability-oriented governance structures that align technological innovation with societal expectations. Future research directions include empirical validation of integrated AI–CSR maturity frameworks and cross-jurisdictional regulatory comparisons.

Identifiers

OPENALEX

W7217108963

Documentary context

Documentary family

Scholarship

Source-reported types

article

Entity mentions are not evidence of legal recognition. Jurisdiction studied is separate from author affiliation country.

Sources

OpenAlex · Record 1 · Record 2

• Document · https://eipublication.com/index.php/jsshrf/article/view/4143/3791
• OpenAlex · https://openalex.org/W7217108963

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Source-declared references and links; they do not establish legal support or UGLC qualification. Up to 20 outgoing references are displayed.

• openalex:w4407544589 · CITES
• openalex:w4408148724 · CITES

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Relevance pending

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