Responsibility in Gambling Conference 2019: Integrating AI into the Safer Customer Journey

Playtech presented latest thinking on responsible gambling, regulation, and AI challenges and opportunities.

Categories

The research explores how artificial intelligence (AI) can be integrated into the safer gambling customer journey, focusing on the balance between automation and human judgment in identifying and supporting at-risk players. It highlights the potential of AI to enhance responsible gambling practices while acknowledging the ethical, regulatory, and operational challenges involved. Key findings:

• AI Can Enhance Detection: Machine learning models can identify behavioural markers of harm more efficiently than manual methods, especially when monitoring large-scale player data.

• Explainability Is Crucial: Trust in AI systems increases when their decisions are transparent and interpretable by human operators.

• Human Judgment Still Needed: Regulatory expectations (e.g. assessing vulnerability or ethical decision-making) require human oversight and cannot be fully automated.

• Automation Supports Scale: Tasks like monitoring deposit thresholds or behavioural changes are better handled by AI due to volume and speed.

• Personalised Interventions: AI can tailor messages and support based on player risk profiles, improving the effectiveness of responsible gambling tools.

• Ethical AI Is a Competitive Advantage: Transparent, fair, and privacy-conscious AI systems foster trust and long-term customer loyalty.

These insights support a hybrid approach where AI augments human decision-making to deliver scalable, ethical, and effective safer gambling strategies. For full details, please refer to the complete document.