Gaming1 has figured out how to capitalize on AI for better iGaming protections

It is no secret that one of the biggest criticisms of the gambling and iGaming industry is the addiction that people can become attached to. However, Gaming1, based in Liège, Belgium, does not intend to stand idly by in the face of this problem. That is why it claims that its new software capability based on artificial intelligence (AI) will curb users who display dangerous characteristics.

Emmanuel Mewissen, Gaming1’s CEO, said, “We are currently honing artificial intelligence software, which will serve as a tool for addiction detection that will be built into our platforms. Addiction is a public health issue, whereas 99% of users play recreationally.”

It has been proven that when a user falls into the temptation of addiction, the activity’s gambling is no longer considered a pleasure and no longer relates to an operator’s values, promoting responsible gambling or online sports betting. AI has tried to respond to the problem by developing software, which identifies and prevents negative consequences before the problem becomes too serious.

The aim of this new AI-based system is to detect and prevent those pathological behaviors of different users who regularly access these gambling platforms. It also aims to make it impossible for people who are predisposed to fall into wrong attitudes to enter these platforms for the first time in order to ensure the proper functioning of the activity.

AI has become a vehicle to collect player data, a fundamental fact for online gaming platforms to continue progressing. Early detection of those attitudes that show compulsive behavior and addiction to gambling in numerous users is vital for the growth of this sector over time to continue to be sustained as it has been up to now.

Mewissen indicates that this AI technology has the ability to provide analytical detection by measuring factors including player click rate, how often the same winnings are re-bet, connection times and returns, and much other relevant information. “By coding all this data, we can get to the point where we can anticipate behavior at risk of becoming problematic.”