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DGOJ develops predictive model to identify online gambling risk patterns

Regulation1 min read

In brief

  • Spain's DGOJ has developed an algorithm-based predictive model for online gambling risk behaviours, according to the report.
  • The system analyses behavioural patterns to detect risk situations before they worsen.
  • It is intended to support preventive measures and consumer protection.

Spain's DGOJ has developed a predictive model based on algorithms to anticipate possible risk behaviours among online gambling users, according to the report.

The initiative aims to use technology as a tool for prevention and consumer protection. The system analyses behavioural patterns that may be linked to risk situations, with the aim of detecting them before they worsen and making it easier to put preventive measures in place. The report says the approach is aimed at identifying possible problem situations and strengthening safer gambling mechanisms, rather than encouraging consumption.

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