How GameScanner Detects Gambling Harm Early with Supervised AI

By

Denitsa Lyutskanova

Denitsa Lyutskanova Chief Editor

Denitsa Lyutskanova is the Head of Content at iGaming.com and a passionate advocate for Safer Gambling. With over a decade of experience in digital marketing, she has been with the company since 2011, working across 20+ markets. Denitsa leads a growing team of 30+ talented content writers and editors, driving impactful content strategies while promoting responsible gaming practices.

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· Chief Editor Last Updated: February 12, 2026

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Problem gambling rarely begins with a clear warning sign. Instead, harm often develops gradually through subtle patterns of play that are difficult to spot in real time. This makes early detection one of the most pressing challenges facing the iGaming industry today.

That challenge is the focus of a video conversation between iGaming.com CEO Prof. Dr. Andreas Ditsche and Rasmus Kjaergaard, CEO of Mindway AI. In the video, they discuss how GameScanner uses supervised AI to detect gambling harm before it escalates.

Kjaergaard explains that GameScanner was designed around a clearly defined detection target. The software does not rely solely on signals such as self-exclusion or isolated behavioral changes. Instead, it mirrors how psychologists assess gambling harm in real-world treatment settings.

Why Psychology-Led AI Makes a Difference

GameScanner’s algorithms are trained using expert psychological assessments and neuroscientific research on human behavior.

Independent testing by Gaming Laboratories International (GLI) shows that GameScanner detects at least 87% of the at-risk and problem gambling cases identified by human experts. This provides operators with a reliable early warning system.

At the same time, Kjaergaard is clear about the limits of automation. Gambling harm is a sensitive and highly individual issue. That’s why human supervision remains essential when AI is used to support decision-making.

Like any detection system, false positives and false negatives can occur. GameScanner addresses this through individualized risk profiles and explainable outputs. This approach helps safer gambling teams understand why a player was flagged and how best to respond.

Using AI to Support Safer Gaming

Mindway AI’s GameScanner is designed to help operators meet regulatory expectations while delivering proportionate and meaningful player support. By combining AI, expert assessments, and neuroscientific insights, it supports earlier intervention and clearer risk assessment.

At iGamingCare, we are also harnessing the power of artificial intelligence to protect players. For example, we have launched an AI support chat to assist anyone with concerns about their gambling behavior.

If you’re looking for practical support options, explore our safer gambling tool guides and player protection resources. They provide further insight into how technology and human oversight can work together to reduce harm.