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Deep technologies and safer gambling: A systematic review.

Leonor G Cardoso1, Beatriz C R Barroso2, Gloria Piccoli2

  • 1CIR, E2S, Polytechnic of Porto, Rua Dr. António Bernardino de Almeida n° 400, 4200-072, Porto, Portugal; Psychology Research Centre (CIPsi), School of Psychology, University of Minho, Building 14, Campus de Gualtar, 4710-057, Braga, Portugal.

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Deep technologies, including AI and machine learning, can enhance online gambling safety by monitoring behavior and predicting risks. However, ethical concerns and implementation challenges need careful consideration for effective player protection.

Keywords:
Deep techEarly detectionGamblingInterventionPreventionProblematic gamblingSystematic review

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Area of Science:

  • Computer Science
  • Psychology
  • Public Health

Background:

  • Deep technologies integrate engineering and science for complex problem-solving.
  • The gambling industry faces increasing challenges from rising gambling practices and related disorders.
  • Limited knowledge exists on the specific applications and consequences of deep technologies in gambling.

Purpose of the Study:

  • To systematically review literature on deep technologies in online gambling environments.
  • To explore the potential benefits, risks, and effectiveness of these technologies in promoting safer gambling.
  • To identify key applications and challenges in implementing deep technologies for player protection.

Main Methods:

  • Systematic literature review following Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines.
  • Searches conducted across major scientific databases (Web of Science, PubMed, Scopus, EBSCO, IEEE) and manual searches.
  • Inclusion of sixty-eight studies examining deep technologies in online casinos and betting platforms.

Main Results:

  • Four primary applications identified: behavioural monitoring, predictive risk modelling, AI decision support, and limit-setting tools.
  • Technologies are used for identifying problematic gambling, regulating behavior, and promoting responsible practices.
  • Benefits include enhanced gambler safety and reduced risks, alongside identified challenges like privacy concerns and misclassification risks.

Conclusions:

  • Deep technologies present significant opportunities to improve online gambler safety and mitigate risks.
  • Implementation challenges, including ethical considerations and data privacy, require careful management.
  • Further research is needed to address limitations and optimize large-scale application of these technologies for player protection.