Earlier this month, Kindred Futures co-hosted a roundtable session in London exploring opportunities around how artificial intelligence (AI) can be used to detect early signs of problem gambling.
Kindred Futures, the innovation arm for Kindred Group (formerly Unibet Group), initiated discussions between leading academics, technology pioneers, addiction psychologists and Kindred’s team of responsible gambling experts.
The focus was on the value of AI in modelling behaviours and changes in behaviour over time, to assess if a player is developing a problem. Detecting signs of problem gambling at an early stage greatly improves the ability to successfully prevent a continued destructive gaming pattern.
Past research in responsible gambling has identified several critical factors such as the amount a player stakes, the time he/she plays for and how they deposit money. However, everyone is different, and so there is no universal solution to detecting the problem.
Will Mace, Head of Kindred Futures, said: “This was a fascinating discussion, bringing together experts from several different fields. The outcome was very encouraging – we agreed there was significant potential for an AI capability to bring together and analyse many data sources to give a much-improved ability to detect signs of a developing problem. We also agreed there was real value in doing this – both socially and commercially.”
AI and machine learning will potentially serve as a complement to Kindred Group’s proprietary system PS-EDS (Player Safety Early Detection System), as an addition to the set of tools and systems used by a Kindred team which hopes to further limit the small number of customers who see gambling as a challenge rather than a form of entertainment.