Assistant Professor of Forensic Psychology
Florida Institute of Technology
Dr Brandon May is an Assistant Professor of Forensic Psychology at the Florida Institute of Technology and Co-Director of the Center for AI in Policing, where he evaluates the use of artificial intelligence, memory, investigative decision-making, and evidence in Law Enforcement contexts. His research examines how large language models and other AI systems are being introduced into criminal justice workflows and, critically, how they can function as algorithmically mediated “super co-witnesses” that shape human cognition, contaminate recall, and influence investigative and legal outcomes. Through a program of experimental, computational, and Bayesian modelling studies, he develops frameworks for understanding error propagation, automation bias, and the cognitive off-loading of professional expertise in AI-supported environments.
Alongside this empirical work, Dr May collaborates with police agencies, government bodies, and international research partners to evaluate the real-world deployment of AI in policing, with a strong emphasis on transparency, pre-deployment testing, and evidence-based governance. His broader academic work examines forensic interviewing, victim-centred practice, and applied decision science to ensure that technological innovation enhances, rather than undermines, the reliability, fairness, and legitimacy of the justice process.
Tuesday Jun 9
3:45pm - 4:30pm
Join Dave Thompson of W-Z as he conducts a live episode of the Truth Be Told podcast.
AI is rapidly entering the investigative toolbox—bringing both promise and risk. In this live Truth Be Told podcast recording. Wicklander-Zulawski CEO Dave Thompson will be joined by Brandon May, PhD, a leading researcher in AI and interviewing science, to break down what today’s loss prevention and asset protection leaders need to know before adopting emerging tools. The two will explore where AI can genuinely enhance investigative work, its current scientific limitations, and the ethical, legal, and reputational risks of misuse or overreliance. Attendees will gain practical guidance on bias, transparency, governance, and the guardrails required for responsible implementation. Focused on clarity over hype, this conversation will equip decision‑makers with the right questions to ask as they evaluate AI’s role in sensitive, high‑stakes investigative environments.