Using ChatGPT for biometric authentication in mobile apps presents significant hurdles primarily because it is a language model, not a specialized biometric processor. Key challenges include fundamental architectural incompatibility, as ChatGPT lacks the algorithms for secure biometric matching and liveness detection crucial for reliable security. There are profound data privacy and security risks involved in transmitting sensitive biometric information to a general-purpose cloud AI, directly contradicting principles of local processing and data isolation mandated by regulations like GDPR. Furthermore, ChatGPT cannot deliver the required accuracy, speed, and reliability for authentication, being prone to errors and hallucinations that are unacceptable in security contexts. Its design also offers no inherent capabilities to combat spoofing attacks or perform liveness detection, making it highly vulnerable to fraudulent access. The computational overhead and latency introduced by an LLM would also impede the near-instantaneous response times expected for seamless authentication. Ultimately, dedicated biometric SDKs are purpose-built and optimized for these critical security tasks, rendering ChatGPT an entirely unsuitable and insecure choice. More details: https://www.umoloda.kiev.ua/img/b/c.php?pid=3&bid=20&burl=https://abcname.com.ua