Truong (Jack) Luu is a Ph.D. candidate in Information Systems at the University of Cincinnati. His research investigates how individuals and organizations perceive and respond to information privacy and cybersecurity threats in the age of AI/ML systems. His dissertation addresses information privacy challenges in the AI era through three interconnected essays: a meta-analysis of 305 empirical studies revealing how AI fundamentally shifts privacy dynamics, a unified multilevel framework (UCIP) that reconceptualizes privacy to account for AI-driven data inference, and an empirical study demonstrating how platform design features shape consumer trust across sharing economy contexts. His work has been published in the Journal of Management Information Systems (JMIS), Computers in Human Behavior (CHB), and other leading outlets, with papers currently under review at Information Systems Research (ISR).

Jack has received UC's Digital Futures Fellowship for three consecutive years (4 awarded university-wide) and the Dean's Dissertation Completion Fellowship (9 awarded university-wide). He has secured over $132,000 in research awards and grants. He teaches courses in information systems security, web development, and applied AI/machine learning.

He also created AI Sec Watch, an AI security monitoring tool for tracking LLM vulnerabilities, privacy incidents, and policy changes.