Real-Time AI for Predictive Responsible Gambling Using Live Wagering Transaction Data

Session Title

AI in Gambling: Machine Learning & Risk Detection

Presentation Type

Paper Presentation

Start Date

26-5-2026 12:00 AM

Abstract

This paper presents a real-time artificial intelligence framework for identifying elevated gambling risk using live wagering transaction and behavioral telemetry. Unlike traditional responsible gambling approaches that rely on self-reports, periodic reviews, or retrospective analysis, this framework evaluates player behavior continuously during active play. The system organizes telemetry into three variable groups reflecting increasing behavioral sensitivity. A baseline layer captures cumulative exposure and engagement, including total session amount, total session time, and visit frequency. An intermediate layer measures behavioral change, including game switching, bet size variation, and denomination shifts, which are associated with escalation and loss-chasing behavior. A high-resolution layer evaluates short-term dynamics such as cash-in and cash-out cycles, betting speed changes, and win–loss streaks, which reflect impulsivity and emotional volatility. These variables are processed using time-series modeling, behavioral clustering, and anomaly detection to generate continuously updated player risk scores. Rather than treating gambling risk as a static classification, the framework models it as a dynamic process that evolves within and across sessions. All detected events are recorded to support structured analysis and regulatory review. This approach enables objective measurement of risk trajectories and intervention timing in regulated gambling environments.

Author Bios

I was born in a small outport in Newfoundland Canada. The most defining moment of my life was at 9 years old when my mother took out a 5 year bank loan (yes … 5 years) to buy me an encyclopedia set. I sat on the living room floor jotting down all the places I would visit and experience. Less than one year later at the ripe old age of 10 I left home alone for the first time to travel by plane to Labrador to spend two months with my Aunt. The rest is history. 108 countries later, I am humbled by the infinite wealth and inspiration my travels have bestowed upon me. Wealth = knowledge, sounds, smells, sights and most importantly … feelings. A mentor once said… information comes with the responsibility to share. Sharing what I have learned is my greatest privilege and passion. Looking forward to meeting you all at this iconic event of inspiration and education. ———————————————————Earle G. Hall is an internationally recognized Canadian entrepreneur, 2x TEDx speaker, visionary, and innovator in several fields of technology and neuroscience. Earle has successfully built companies in the video game, special effects for movies, technology education and casino industries before joining AXES.ai..Operating in more than 30 countries, AXES is a real-time cloud-based casino information management system that offers Cashless, DooH Media, Loyalty and Engagement Solutions as well as AI-driven business intelligence solutions and analytics..Earle is the Chairman of the Artificial Intelligence and Cybersecurity Committee of the Las Vegas Chamber of Commerce. He is the Emeritus Chairman of the International Gaming Standards Association and an Emeritus Board Member of the renowned Government Blockchain Association that has developed the United Nations Blockchain Evaluation Standard for the Internet..Earle is a graduate of the Royal Military College of Canada and a Veteran Army Officer. He holds a Master’s Degree in Public Administration and is currently pursuing his Doctorate in Holistic Medicine. In recognition of his international contributions and research, he has been awarded an Honorary Doctorate from TIUA Business School..In 2024 Earle was awarded the United States President’s Lifetime Achievement Award for his pioneering work in blockchain, artificial intelligence, anti-money laundering, and responsible gaming technology research and applications.

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May 26th, 12:00 AM

Real-Time AI for Predictive Responsible Gambling Using Live Wagering Transaction Data

This paper presents a real-time artificial intelligence framework for identifying elevated gambling risk using live wagering transaction and behavioral telemetry. Unlike traditional responsible gambling approaches that rely on self-reports, periodic reviews, or retrospective analysis, this framework evaluates player behavior continuously during active play. The system organizes telemetry into three variable groups reflecting increasing behavioral sensitivity. A baseline layer captures cumulative exposure and engagement, including total session amount, total session time, and visit frequency. An intermediate layer measures behavioral change, including game switching, bet size variation, and denomination shifts, which are associated with escalation and loss-chasing behavior. A high-resolution layer evaluates short-term dynamics such as cash-in and cash-out cycles, betting speed changes, and win–loss streaks, which reflect impulsivity and emotional volatility. These variables are processed using time-series modeling, behavioral clustering, and anomaly detection to generate continuously updated player risk scores. Rather than treating gambling risk as a static classification, the framework models it as a dynamic process that evolves within and across sessions. All detected events are recorded to support structured analysis and regulatory review. This approach enables objective measurement of risk trajectories and intervention timing in regulated gambling environments.