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  • Article title
  • Abstract
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  • Relevance to practice
  • 1. Introduction
  • 2. Artificial Intelligence and Machine Learning: basic concepts
  • 3. The three lines of defence model
  • 4. Applications of AI and ML within banks
    • 4.1 Applications in the first line
    • 4.2 Applications by first and second line
    • 4.3 Application in the second and third line
    • 4.4 Benefits of using AI and ML
  • 5. Risks and challenges when using AI and ML
    • 5.1 Modelling and data issues
    • 5.2 Consumer protection and reputational risks
    • 5.3 Transparency, Auditability and Tail risk events
    • 5.4 Bank operations
  • 6. AI and ML in the context of the three lines of defence
  • 7. AI and ML in banks: the regulatory perspective and new risks
  • 8. Conclusion and recommendations
  • References
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