Unveil the future of banking fraud prevention through this white paper, as it explores the integration of artificial intelligence (AI) to enhance anti-fraud systems. Delve into the challenges of implementing AI effectively while combining diverse techniques for a versatile solution. This paper highlights the fusion of human expertise with AI models to refine sensitivity and boost performance, along with leveraging collective insights. Addressing regulatory concerns, it advocates for explainability in AI-driven fraud solutions, enabling human users to comprehend recommendations. Emphasizing AI's role as augmentation rather than replacement for human decision-making, this paper navigates the synergy between human and AI intelligence, promising heightened efficiency and performance gains.
 

• The challenges of implementing AI-based systems for banking fraud
• How different AI techniques can be combined to overcome these challenges
• The key to harnessing the strengths of humans and machines in a single system
• How banks can benefit from each other's experience in tackling frauds
• Ways to meet the regulatory requirement for "explainable AI"
• The growing range of fraud types that AI can detect and prevent