Enhancing ESG Reporting With Mathematical Thinking and Emerging Technologies

As corporate accountability demands grow, transparent sustainability reporting is essential for stakeholder trust. This chapter explores how mathematical thinking, integrated with artificial intelligence (AI) and blockchain, transforms environmental, social, and governance (ESG) reporting. Statistical models, optimization algorithms, and uncertainty analysis enhance data validation, resource management, and decision-making. AI and blockchain enable automation, data integrity, and traceability, addressing ESG challenges. Practical applications in energy, manufacturing, and logistics demonstrate how these methods optimize efficiency, reduce carbon footprints, and align ESG goals with profitability. The chapter addresses privacy, scalability, and standardization challenges, emphasizing global collaboration, policy support, and mathematical literacy. By integrating human oversight with AI and blockchain, organizations can set new benchmarks in transparency, accountability, and sustainability.