Divya Anantharaman

Rutgers, The State University of New Jersey

Papers

Total Citations

H-Index

About

Divya Anantharaman is a pioneering researcher at the intersection of artificial intelligence and financial reporting, whose work is reshaping how we understand the role of machine learning in corporate transparency. Her most-cited paper, "Artificial Intelligence and Financial Reporting Quality" (2023), has garnered 23 citations in a short span, signaling its growing influence in both accounting and AI communities. In this seminal work, Anantharaman explores how AI-driven tools can enhance the accuracy, timeliness, and reliability of financial disclosures, offering a framework for regulators and firms to leverage predictive analytics while mitigating algorithmic bias. Her contributions extend beyond theory, as she actively collaborates with industry partners to test AI models on real-world datasets, bridging the gap between academic rigor and practical application. Anantharaman’s research is notable for its forward-looking approach, addressing ethical concerns such as data privacy and model interpretability in financial contexts. With a reputation for clear, impactful writing and a knack for translating complex technical concepts into actionable insights, she is a rising voice in the field. Her work promises to influence how auditors, investors, and policymakers harness AI for more trustworthy financial ecosystems.