[Update] Event: Deception Detection with AI by Dr. Matthew Kane

Please note new speaker

Our speaker, Jimmy Edgell, for May 25th will have to return England on the morning of scheduled time. When things settle down for Jimmy he says he will gladly reschedule the presentation but for now he cannot be sure of the dates.

So, we thought we would still use May 25th, and have Dr. Matthew Kane give the presentation on AI - Deception Detection that he just gave to DAMA-Vancouver on May 10th. It is an amazingly interesting area of AI and the best part is that Dr. Kane loves to answer questions all the way through the presentation, and his decades of experience enabled him to give insightful answers to every question.

Please join us for a behind-the-scenes peek into the world of Deception Detection in Security! Dr. Matthew Kane was at the forefront of merging data science with intelligence operations in the Middle East during the 2000s. He will share about his unique experiences as a data-savvy spy tackling tricky situations and his ongoing mission to build a cutting-edge deception detection AI, utilizing nearly 1.2 billion tokens of data. This presentation promises to shed light on the fascinating intersection of technology, espionage, and the continuous quest for innovation.

Biography: Dr. Matthew Kane

Dr. Matthew Kane is founder CEO of Prodigy Intelligence, a Counter-Intelligence training and consulting firm, offering its internally developed AI engine Coyote, since 2022.

A cutting-edge human deception detection system, Coyote has been designed to revolutionize the field of honesty-verification. Coyote represents a ground-breaking advancement in the field, capable of analyzing text documents, audio recordings, and video footage of human subjects to profile human expression for patterns indicating deceit.

Matt also presently lectures on Intelligence at the University of British Columbia (UBC), on strength of his PhD in Experimental Psychology and his deep practitioner experience as a field Officer with the Canadian Forces Intelligence Branch. During his service years in high-stakes tactical environments overseas, Matt developed a keen interest in the nuanced art of analyzing non-verbal behavioral data. From his first engagement with early military Artificial Intelligence (AI) tools in 2009, Matt quickly recognized the transformative potential the emerging AI field held for discerning truth from deception. Matt’s work bridges the gap between theoretical research and practical data-driven digital technology, revealing the untapped strategic value in data-capture of subjects’ non-verbal cues associated with deception, positioning him as a leading expert in specialized psychometrics.