EASG 2018: BetBuddy to Present on Game Design, AML, and Future of Analytics in Harm Detection

Playtech presented latest thinking on sustainable game design, AML, AI, and data analytics in harm detection at EASG conference.

Categories

This case study outlines the development and real-world impact of BetBuddy, an AI-driven platform created in partnership with City, University of London, to predict and reduce problem gambling.

Key Findings:

• Explainable AI for Safer Gambling: The system uses Random Forest models and knowledge extraction techniques to provide interpretable predictions of self-exclusion risk, enabling tailored interventions.
• Proven Accuracy and Adoption: The platform achieved 87% prediction accuracy and has been integrated into 9 Playtech platforms, supporting around 3 million gamblers globally.
• Real-World Impact: Ontario Lottery and Gaming Corporation (OLG) reported that 90% of surveyed users found BetBuddy’s tools helpful. The system contributed to OLG winning two global RG awards.
• Regulatory Recognition: BetBuddy has been cited in UK parliamentary debates, Gambling Commission reports, and European Commission evaluations as a leading example of responsible gambling technology.
• Industry Leadership: Playtech’s acquisition of BetBuddy and its leadership in developing the first Industry Code for Product Design underscore the platform’s influence.

This case demonstrates how academic-industry collaboration can produce scalable, ethical, and effective tools for harm minimization in gambling. For full details, please refer to the complete document.