The Governance Paradox: Algorithmic Bias, Statutory Corporate Social Responsibility Mandates, and Responsible Artificial Intelligence in the Indian Corporate Sector

Nirmal Ajo; Nilaish N

The Governance Paradox: Algorithmic Bias, Statutory Corporate Social Responsibility Mandates, and Responsible Artificial Intelligence in the Indian Corporate Sector

Author(s)	Mr. Nirmal Ajo, Dr. Nilaish N
Country	India
Abstract	India occupies a unique position in the global integration of Artificial Intelligence (AI) into Corporate Social Responsibility (CSR), being the only major economy that combines a statutory CSR mandate under Section 135 of the Companies Act 2013 with one of the world's fastest growing AI adoption ecosystems. Indian corporations are projected to spend over 35,000 crore rupees on CSR activities in 2025, even as AI investment among the country's top 100 listed firms is reported to be growing at more than 40 percent annually. The governance paradox arising from this convergence is examined in this paper, where the same AI systems that promise transformative gains in CSR effectiveness are simultaneously introducing algorithmic bias, greenwashing, privacy harms, and labour displacement risks that existing CSR frameworks were not designed to address. The study draws on Indian regulatory documents, including the Companies Act 2013, the Securities and Exchange Board of India (SEBI) Business Responsibility and Sustainability Reporting (BRSR) framework, the 2025 AI Governance Framework released by the Ministry of Electronics and Information Technology (MeitY), and the Digital Personal Data Protection Act 2023, alongside global instruments such as the European Union AI Act, the OECD AI Principles, and the ISO/IEC 42001 standard, and case evidence from Tata Consultancy Services, Infosys, Wipro, Reliance Industries, Microsoft, and Unilever [1, 2, 3]. It is observed that AI's impact on CSR outcomes is determined by governance quality rather than technological sophistication, and that India faces a regulatory window of three to five years in which to establish coherent AI-CSR governance before retrofitting becomes prohibitive. It is argued that an integrated AI-CSR framework is required, one that aligns the BRSR disclosures, the Companies Act CSR rules, and the emerging AI governance architecture into a single accountability structure suited to a country where statutory CSR meets large scale algorithmic decision making.
Keywords	Artificial Intelligence, Corporate Social Responsibility, Algorithmic Bias, Ethical Governance, Companies Act 2013, Business Responsibility and Sustainability Reporting
Field	Business Administration
Published In	Volume 7, Issue 3, May-June 2026
Published On	2026-05-11

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The Governance Paradox: Algorithmic Bias, Statutory Corporate Social Responsibility Mandates, and Responsible Artificial Intelligence in the Indian Corporate Sector

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