Ai Integration for A Sustainable Reporting and Accountability Framework

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Dr. Honey Gupta, Ms. Shivangi Seth

Abstract

The accelerating global transition toward sustainable development has intensified the demand for transparent, reliable, and timely sustainability reporting. Traditional frameworks often struggle with data inconsistencies, subjective disclosures, and the rapidly evolving requirements of stakeholders and regulators. This paper explores how Artificial Intelligence (AI) can integrate into and strengthen sustainable reporting and accountability frameworks. It examines the role of AI in data acquisition, ESG analytics, assurance, regulatory compliance, stakeholder engagement, and long-term strategic decision-making. The findings emphasize that AI-enabled sustainability reporting provides an efficient, scalable, and credible mechanism for organizations to align with global standards such as the GRI, IFRS Sustainability Standards (ISSB), and the EU Corporate Sustainability Reporting Directive (CSRD). The paper concludes with an AI-enabled accountability model and a set of governance principles essential for ensuring ethical, explainable, and responsible AI adoption.

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How to Cite
(1)
Dr. Honey Gupta, Ms. Shivangi Seth. Ai Integration for A Sustainable Reporting and Accountability Framework. ES 2026, 22 (5(S)May), 350-365. https://doi.org/10.69889/1k1g9a16.
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Articles

How to Cite

(1)
Dr. Honey Gupta, Ms. Shivangi Seth. Ai Integration for A Sustainable Reporting and Accountability Framework. ES 2026, 22 (5(S)May), 350-365. https://doi.org/10.69889/1k1g9a16.