Advances in Biometric Authentication and Emerging Ethical Challenges

Abstract

Recent advances in artificial intelligence, deep learning, and multimodal sensing have significantly improved the accuracy, adaptability, and usability of biometric authentication, while raising ethical and societal concerns around privacy, bias, surveillance, transparency, and accountability. This paper presents a qualitative synthesis of the literature published between 2020 and 2025 that examines both the technological evolution of biometric authentication and its emerging ethical implications, covering AI-driven recognition, contactless and multimodal systems, behavioral biometrics, and privacy-enhancing architectures. The findings show that these innovations improve recognition performance and operational flexibility but entail trade-offs in computational, privacy, fairness, explainability, and governance. Based on the reviewed studies, the paper proposes a structured ethical assessment framework that covers privacy and data protection, fairness and non-discrimination, transparency and accountability, and societal and legal impact. It concludes that trustworthy biometric authentication requires not only technical robustness but also ethical design and regulatory alignment.