Corporate Disclosure in the Age of AI

"Traditionally concerns around corporate disclosure have been restricted to a select set of releases-financial reports filed with regulators such as the SEC, earnings calls, etc.-that were considered material for financial performance."

"Yi Cao is an Assistant Professor of Accounting at George Mason University. His research explores how firms communicate with investors and how labor dynamics shape financial reporting quality, drawing on large language models and other machine-learning tools to analyze complex disclosure environments."

"Long Chen is Accounting Area Chair and Associate Professor of Accounting at the Costello College of Business, George Mason University. She conducts empirical archival research on topics related to financial reporting and disclosure in both US and international settings, corporate social responsibility, executive profiles, and artificial intelligence."

Corporate disclosure historically concentrated on a narrow set of formal releases, including financial reports filed with regulators such as the SEC and earnings calls considered material to financial performance. Yi Cao studies firm–investor communication and the role of labor dynamics in shaping financial reporting quality, using large language models and other machine-learning tools to analyze complex disclosure environments. Long Chen conducts empirical archival research on financial reporting and disclosure across US and international contexts, corporate social responsibility, executive profiles, and artificial intelligence. Both researchers apply advanced computational and empirical methods to investigate disclosure practices and reporting quality.

Read at Harvard Business Review