Open Access Research Article

ARTIFICIAL CLAIMS, REAL LIABILITY: REGULATING AI WASHING THROUGH INDIA’S CORPORATE DISCLOSURE FRAMEWORK

Author(s):
SUJOY GOSWAMI
Journal IJLRA
ISSN 2582-6433
Access Open Access
Volume 3
Issue 8

Abstract

The present-day capital market is awash with assertions relating to artificial intelligence. Issuers, listed firms, investment advisers and firms catering to consumers regularly assert themselves to be “AI-powered,” “AI-driven” or “AI-first,” usually in filings and offering documents that raise capital and manage investor expectations. When such assertions exceed the actual technological state of things, the phenomenon has a name“AI washing”and, with the first enforcement action by the US Securities and Exchange Commission in March 2024, a legal consequence. The Indian legislative corpus does not contain any specific law governing AI washing, and the prevailing academic view is that the absence of law provides a shield for the boasting firm. This article challenges the above academic view. It makes the argument that the extant law of corporate disclosures in India the misrepresentation, fraud and duties of directors’ provisions in the Companies Act, 2013, the anti-fraud and disclosure laws in the SEBI Act, 1992 and the rules made under it, and the misleading advertisements law in the Consumer Protection Act, 2019. Thus there already exists an implicit yet effective regime against AI washing. Leveraging the enforcement strategy of the SEC, the transparency framework of the Artificial Intelligence Act of the European Union, and the 2024 anti-greenwashing guideline of the Central Consumer Protection Authority as a domestic legal precedent, this article outlines how fictitious representations can be transformed into liability based on existing Indian law. Subsequently, it examines the structural limitations of the implicit regime in determinacy of materiality in technological representations, the lack of legal definition of “AI”, the puffery doctrine, and a disclosure framework that favors listed companiesand presents a targeted, hierarchical approach to address thema disclosure circular issued by SEBI with regard to AI-related representations, an anti-AI claim guideline issued by CCPA, and the on-demand substantiation requirement. The premise is that India does not need an AI legislation to regulate AI washing; all it needs is the calibration of its existing disclosure instruments.

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Author Details

Authors: SUJOY GOSWAMI Registration ID: 1013581 | Published Paper ID: IJLRA13581Approved ISSN: 2582-6433 | Country: Delhi, India

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International Journal for Legal Research and Analysis

  • AbbreviationIJLRA
  • ISSN2582-6433
  • AccessOpen Access
  • LicenseCC 4.0

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