Glorin Sebastian is a researcher in AI governance and risk, with over a decade of professional experience in IT risk, audit and controls.

His research examines shadow AI, human oversight, trust and accountability in AI-assisted decision-making. He developed the Digital Shadow AI Risk Theoretical Framework (DART), published in Technological Forecasting and Social Change, and writes AI, Audited, a newsletter translating AI governance into practical controls and evidence.

He holds master’s degrees in Cybersecurity Policy from Georgia Tech and Information Systems from Georgia State University, alongside CISSP and CISA certifications. He is participating in a personal capacity.