Facial recognition technology poses significant risks

Facial recognition technology (FRT), significantly advanced by deep learning, is increasingly deployed by retailers, law enforcement, and even individuals, creating vast databases of personal images. However, the technology is prone to errors, including false positives and false negatives, which can lead to wrongful arrests or missed identifications. Biases in training data and algorithmic design disproportionately affect certain demographics, such as darker-skinned individuals, raising serious concerns about accuracy, privacy, and equitable application.