Redefining Carbon Accountability: AI Applications in Emissions Tracking and ESG Compliance

Co Investigator

This research proposal explores the transformative potential of Artificial Intelligence (AI) in enhancing carbon accounting and sustainability auditing practices. The project investigates how AI tools—particularly machine learning (ML) and natural language processing (NLP)—can improve the accuracy, regulatory compliance, and fraud detection capacity of emissions reporting systems. The purpose is to address the limitations of traditional carbon reporting methods, which are often manual, error-prone, and lack transparency, particularly in the context of tightening global climate regulations and frameworks such as the GHG Protocol and Australia’s newly introduced AASB S1 and S2 standards.

01 Jul 2025 - 31 Dec 2025

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