AI детекция problem gambling

AI-driven early detection problem gambling — modern approach RG.

Signals

Betting velocity increase. Losses chasing patterns. Deposit failures suggesting financial stress. Session duration escalation. Night-time gambling. Emotional language в support/chat. Multi-account activity. Payment method churning. Combined score.

Models

Supervised learning: training on self-exclusion events. Anomaly detection: individual baselines. Sequence models: LSTM для behavior over time. Ensemble approach. Feature engineering critical: 200+ features common. Continuous retraining.

Interventions

Tiered by risk level. Low: awareness messaging. Medium: reality checks, limit prompts. High: outreach communication, cooling-off suggestion. Very high: mandatory intervention, human specialist contact. Player experience varies по risk.

Ethics

Not falsely accusing. Respectful language. Not stigmatizing. Genuine care vs paternalism. Player autonomy respected. Transparency: explanation why intervention. Regulatory approval methodology. Regular ethics review.