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Abstract
The transformation of digital payments is driving the use of biometric authentication based on face recognition to improve the convenience and security of transactions. However, this technology also brings potential harms that need to be analyzed more thoroughly. This study aims to analyze the potential harms arising from the permanence of facial biometric data and algorithmic bias in face recognition-based payment systems from the perspective of Jasser Auda's Maqashid Sharia. The research uses a library research method with Auda as the primary source and scientific literature as secondary sources. The analysis is conducted qualitatively using multidimensionality as the main framework and purposefulness and openness as supporting features. The results show that the permanence of biometric data affects security, privacy, control over identity, and the risk of data misuse. Algorithmic bias impacts accuracy, service access, fairness, and user rights. Both of these issues have the potential to disrupt hifz al-'ird. Mitigation is directed at strengthening data protection, periodic bias evaluation, data representativeness, and providing alternative verification. The benefits of technology depend on adequate security and supervision.