Beyond Compliance: AI, GDPR, and ESG as Pillars of Emerging Responsible Corporate Governance in the EU Regulatory Landscape
The European Union’s regulatory landscape is undergoing a fundamental transformation, characterised by the simultaneous emergence of three distinct yet interconnected governance frameworks: the Artificial Intelligence Act, the General Data Protection Regulation, and the expanding ESG obligations encompassing sustainability reporting and due diligence. While traditionally treated as separate compliance domains, this paper argues that these frameworks increasingly operate as interconnected mechanisms of corporate responsibility, requiring companies to integrate technological, informational, social, and environmental considerations into governance processes. Through a systematic analysis of the accountability principles embedded within each framework, this paper demonstrates that AI regulation, GDPR obligations, and ESG requirements are converging into a unified governance architecture that extends corporate responsibility beyond traditional compliance toward proactive, stakeholder-oriented governance. The paper develops an integrated governance model that positions AI governance (algorithmic responsibility), GDPR (information responsibility), and ESG (societal responsibility) as three interconnected pillars of responsible corporate governance in the EU. This paper extends this literature by demonstrating how these three frameworks collectively form an integrated model of corporate responsibility. The paper concludes that the EU is developing a distinctive model where legal compliance becomes the foundation for responsible corporate conduct, signalling a fundamental change in the purpose and practice of corporate governance.
Authors
- Charalampos Stamelos (ORCID: https://orcid.org/0000-0003-2597-2685)
Institutions
- European University Cyprus (CY)
Publication Details
- Journal
- Laws
- Published
- 2026-10-02
- DOI
- https://doi.org/10.3390/laws15050130
- Primary Topic
- Ethics and Social Impacts of AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00