Explore the ethical considerations and challenges in developing anti-fraud systems for mobile payments in this 15-minute IEEE conference talk. Delve into the complexities of payment fraud, algorithmic bias, and user-facing challenges in fraud detection. Examine the goals of a measurement study, key metrics, and the importance of end-user data in fraud evaluation. Learn about machine learning model design principles and system design considerations for effective fraud prevention. Analyze the results of an end-to-end fraud evaluation and the correlation between fraud decisions and frame rates. Gain insights into the limitations of algorithmic fairness and the need for innovative approaches in combating mobile payment fraud while maintaining ethical standards.